Notes:
Genetic algorithms are a type of optimization algorithm that are inspired by the process of natural evolution. They use techniques such as selection, crossover, and mutation to evolve a population of solutions over time, with the goal of finding the optimal solution to a given problem.
In dialog systems, genetic algorithms can be used to optimize the performance of the system by iteratively improving the quality of the dialogs generated by the system. For example, a dialog system might use a genetic algorithm to learn the optimal responses to user input based on a set of training data.
To use a genetic algorithm in a dialog system, the system would first define a set of parameters that determine the quality of a dialog. These parameters might include things like the relevance of the responses to the user’s input, the length of the dialog, and the overall coherence of the conversation.
The system would then generate a population of dialogs, each with a different set of parameter values. These dialogs would be evaluated based on the defined parameters, and the best-performing dialogs would be selected to form the basis of the next generation of dialogs. This process would continue until the system converges on an optimal set of parameter values, resulting in a dialog system that generates high-quality dialogs.
Resources:
- hci.international .. human-computer interaction international conference series
- pricai.org .. pacific rim international conferences on artificial intelligence
Wikipedia:
References:
- Clever Algorithms: Nature-Inspired Programming Recipes (2011)
- Foundations on Natural and Artificial Computation (2011)
- Intelligent Decision Technologies (2011)
- Intelligent Systems: A Modern Approach (2011)
- New Challenges on Bioinspired Applications (2011)
- New Trends in Agent-based Complex Automated Negotiations (2011)
- Philosophy and Simulation: The Emergence of Synthetic Reason (2011)
See also:
100 Best Clustering Algorithm Videos | 100 Best Java Neural Network Videos | 100 Best Neural Network Training Videos | 100 Best Neural Network Videos | Classification Algorithms In Dialog Systems | Cognitive Engines | Computational Analogy | Grammatical Inference Systems | Learning Classifier & Dialog Systems | Metagrammar | Summarization Systems
The use of genetic algorithm to optimize quantitative learner’s motivation model
P Lempa, M Ptaszynski, F Masui – Czasopismo Techniczne, 2018 – ejournals.eu
… [3] Calkin S. Montereo, Araki K., Unsupervised language independent genetic algorithm approach to … 4592, 2007, 388–394. [4] Manurung R., Ritchie G., Thompson H., Using Genetic Algorithms to Create … [6] Araki K., Kuroda M., Generality of Spoken Dialogue System using SeGA …
INISTA’2018 Conference Detailed Program
V Piuri, L Heller, M Tsikerdekis, SE Constructor… – inista.org
… Sinem Ç?naro?lu, Sema Bodur A New Hybrid Approach Based on Genetic Algorithm for Minimum Vertex Cover (full) Kalyani Selvarajah, Pooya … From the Analysis of a Dialogue Corpus to a Dialogue System (full) Tu?ba Pamay, Gül?en Eryi?it Turkish Coreference Resolution (full …
Multidisciplinary Approaches to Neural Computing
A Esposito, M Faudez-Zanuy, FC Morabito, E Pasero – 2018 – Springer
… for the processing of dynamic signals, in anticipation of the implementation of intelligent avatars, interactive dialog systems, and reliable … Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach …
Emerging trends, issues, and challenges in Internet of Medical Things and wireless networks
G Manogaran, N Chilamkurti, CH Hsu – Personal and Ubiquitous …, 2018 – Springer
… Jin M, Wang H, Song L, Li Y, Zeng Y (2018) Man-machine dialogue system optimization based on cloud computing … Sivakumar V, Rekha D (2018) Node scheduling problem in underwater acoustic sensor network using genetic algorithm …
Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings
FJ de Cos Juez, JR Villar, A Enrique, Á Herrero… – 2018 – books.google.com
… Juan J. Cilla, Pedro Malagón, Ignacio Penas, and José M. Moya Improving the Accuracy of Prediction Applications by Efficient Tuning of Gradient Descent Using Genetic Algorithms … 694 Bogus?aw Cyganek A View of the State of the Art of Dialogue Systems …
On the effects of using word2vec representations in neural networks for dialogue act recognition
C Cerisara, P Kral, L Lenc – Computer Speech & Language, 2018 – Elsevier
Skip to main content …
I Text
M Sergot – fi.muni.cz
… Belarussian Speech Recognition Using Genetic Algorithms ….. 301 Eugene I. Bovbel, Dzmitry V. Tsishkou (Belarussian State University) … A Syntactical Model of Prosody as an Aid to Spoken Dialogue Systems in Italian Language …
An End-to-End Approach to Joint Social Signal Detection and Automatic Speech Recognition
H Lnaguma, M Mimura, K Inoue… – … , Speech and Signal …, 2018 – ieeexplore.ieee.org
… They are informative for dialogue systems to generate human-like behaviors such as synchronized … investigated such as Gaussian mixture model (GMM) [4,5], genetic algorithm (GA) [6 … laughter and filler events by time series smoothing with genetic algorithms,” in Proceedings of …
Knowledge map construction using text mining and artificial bee colony algorithm
T Chieh-Yuan, J Wei-Zhong – 2018 IEEE 42nd Annual …, 2018 – ieeexplore.ieee.org
… However, some problems have been found in their research. First, chi-square test combined with genetic algorithm (GA) is used to find important features … Page 2. [12] proposed an open-ended dialog system based on topic maps …
Redefining Information Processing Through Neural Computing Models
A Esposito, M Faundez-Zanuy, FC Morabito… – … Approaches to Neural …, 2018 – Springer
… Clustering Algorithm (QuickBundles) for Tractography Representations (proposed by Cauteruccio and colleagues), a Micro-Genetic Algorithm for Accurate … seismic waves) signals, in anticipation of the implementation of intelligent avatars, interactive dialog systems, and reliable …
Institute of Communications Engineering Staff
M Bossert, R Fischer, W Minker, UC Fiebig… – Journal on Multimodal …, 2018 – uni-ulm.de
… K. Brester, O. Semenkina and M. Sidorov Multi-Objective Genetic Algorithms as an Effective Tool for Feature Selection in the Speech … Techniques for Natural Language Call Routing Proceedings of the 7th International Workshop On Spoken Dialogue Systems (IWSDS), January …
Scalable language model adaptation for spoken dialogue systems
A Gandhe, A Rastrow, B Hoffmeister – arXiv preprint arXiv:1812.04647, 2018 – arxiv.org
… [4] Karl Weilhammer, Matthew N Stuttle, and Steve Young, “Bootstrapping language models for dialogue systems,” in Ninth … [20] ¨Ozgür Yeniay, “Penalty function methods for con- strained optimization with genetic algorithms,” Math- ematical and computational Applications, vol …
Image inspired poetry generation in xiaoice
WF Cheng, CC Wu, R Song, J Fu, X Xie… – arXiv preprint arXiv …, 2018 – arxiv.org
… ibility. As the second type of generator, genetic algorithms are applied in previous works, like (Manurung 2004) and (Manurung, Ritchie, and Thompson 2012), which regard po- etry generation as a state search. (Yan et al. 2013 …
The Body is not a Given: Joint Agent Policy Learning and Morphology Evolution
D Banarse, Y Bachrach, S Liu, C Fernando, N Heess… – 2018 – openreview.net
… 2016), robotics (Kober et al., 2013; Levine et al., 2016) and dialog systems (Li et … Related Work Evolving virtual creatures (EVCs) work uses genetic algorithms to evolve the structure … Typically the adaption stage uses a genetic algorithm operating to evolve the controller (Cheney …
Visualizing and Understanding the Hotspots and Trends of Mobile Learning
S Xu, H Yang, S Zhu – 2018 International Symposium on …, 2018 – ieeexplore.ieee.org
… On this basis, the researchers simulated social characteristics associated with collaborative learning activities and introduced the method of genetic algorithm to divide learners … [25] Griol, D., and Molina, JM, A framework to develop adaptive multimodal dialog systems for android …
A critical review and analysis on techniques of speech recognition: The road ahead
AV Haridas, R Marimuthu… – International Journal of …, 2018 – content.iospress.com
… [34] presented the Genetic algorithm on speech recognition … Through Mandarin speech features, a codebook was initially coached by genetic algorithms … Now, they elucidated the three novel language modeling techniques that employ semantic study for spoken dialog systems …
Automated Construction of Young Specialists Models with the Use of Tutoring Integrated Expert Systems
GV Rybina, ES Fontalina – 2018 IV International Conference on …, 2018 – ieeexplore.ieee.org
… tutoring completion (web-testing of the students with generation of options based on the genetic algorithm is used … as Applied Mathematics and Informatics and Software Engineering, in particular: Introduction in Intelligent Systems, Intelligent Dialog Systems, Dynamic Intelligent …
KoMMDia: Dialogue-Driven Assistance System for Fault Diagnosis and Correction in Cyber-Physical Production Systems
J Rahm, M Graube, R Müller, T Klaeger… – 2018 IEEE 23rd …, 2018 – ieeexplore.ieee.org
… trees, Bayesian networks, or genetic algorithms are used to determine the most fitting cases [21] … information needs to be included in our case descriptions: a) The dialogue system elicits a … B.-C. Kim, “Cost-sensitive case-based reasoning using a genetic algorithm: Application to …
A Review on the Adaptive Features of E-Learning
S Datta, S Sengupta – ijlt.org
… Implementation of adaptive curriculum sequencing with help of different advanced computing techniques like Genetic Algorithm, AND-OR graph and Ontology are … [10] D. Chin, “KNOME: Modeling what the user knows in UC,” in User Modeling in Dialogue Systems, A. Kobsa and …
The JaCalIVE framework for MAS in IVE: A case study in evolving modular robotics
JA Rincon, E Garcia, V Julian, C Carrascosa – Neurocomputing, 2018 – Elsevier
… Specifically, the implemented system simulates a genetic algorithm where robots can interact among them in order to change its … making mechanism other algorithms that improve the deliberative process such as reinforcement learning [22], [23], genetic algorithms [24], markov …
Pardon the Interruption: Managing Turn-Taking through Overlap Resolution in Embodied Artificial Agents
F Gervits, M Scheutz – Proceedings of the 19th Annual SIGdial Meeting …, 2018 – aclweb.org
… An alternative approach, and a popular one used by some commercial dialogue systems that handle overlap, is one wherein the agent responds to over- lap by simply … 5This is analogous to the fitness proportionate selection operator for genetic algorithms – see Back (1996) …
CCG supertagging via Bidirectional LSTM-CRF neural architecture
R Kadari, Y Zhang, W Zhang, T Liu – Neurocomputing, 2018 – Elsevier
… tagging, (2015). arXiv preprint arXiv:1508.01991. [11] OA Arqub, Z. Abo- HammourNumerical solution of systems of second-order boundary value problems using continuous genetic algorithm. Inf. Sci., 279 (2014), pp. 396-415 …
Applying Deep-Learning Techniques to Parallel Processes Scheduling within Heterogeneous Distributed Computational Environments
JR Onrubia Palacios – 2018 – repositori.udl.cat
Page 1. TREBALL FINAL DE GRAU Presentació Mes: Setembre. Any: 2018. Estudiant: Jordi Ricard Onrubia Palacios. Titulació: Títol de Treball Final de Grau: Applying Deep-Learning Techniques to Parallel Processes Scheduling …
Improving Test Execution Efficiency Through Clustering and Reordering of Independent Test Steps
B Walter, M Schilling, M Piechotta… – 2018 IEEE 11th …, 2018 – ieeexplore.ieee.org
… We combine clustering with path finding algorithms, specifically a genetic algorithm as shown in Braun [2] and Ant Colony System described in Dorigo [4]. These methods enable us to derive an automated process to improve test data with the goal to reduce test loads …
Multi-agent Robotic Systems in Collaborative Robotics
S Vorotnikov, K Ermishin, A Nazarova… – … Conference on Interactive …, 2018 – Springer
… Evolution methods (genetic algorithms) also require considerable time due to their computational complexity … controller is intended for the implementation of the of the robot’s human-machine interfaces, such as remote telepresence system, speech dialogue system and graphic …
Procedural 3D Tile Generation for Level Design
A Medendorp, SK Semwal – Proceedings of the Future Technologies …, 2018 – Springer
… switches that control in-game items, a shop and inventory system, functional currency pickups, functional heart health system, dialog system, and AI … Roguelike Project, (b) Options Menu in Unity 5 Tutorial – Part 1, (c) Solving Sliding Tile N-Puzzles With Genetic Algorithms and A …
Neuro-symbolic reasoning system for modelling complex behaviours
N Balse, J Carter – researchgate.net
… 2009. 139. A. Gola and G. K losowski. Application of fuzzy logic and genetic algorithms in automated works transport organization. Advances in Intelligent Systems and Computing, 620:29–36, 2018. 140. L. Gomes and Z. Vale …
Computational Pragmatics: A Survey in China and the World
XB Li, ZX Ma – Proceedings of the 2nd International Conference on …, 2018 – dl.acm.org
… In 2014, Chris Cummins and Jan P. de Ruiter reviewed the methods and tried to apply them in artificial dialogue systems [32] … time, he used Skinner’s Verbal Behavior to understand the context of the discourse and the purpose of the speaker, implementing by Genetic Algorithm …
Long Short Term Memory Hyperparameter Optimization for a Neural Network Based Emotion Recognition Framework
B Nakisa, MN Rastgoo, A Rakotonirainy, F Maire… – IEEE …, 2018 – ieeexplore.ieee.org
… recognition [14]. Like Genetic Algorithm, DE also uses the crossover and mutation concepts, but it has explicit updating equation. The optimization process in DE consists of four steps: initialization, mutation, cross over and selection. In …
Gesture Recognition System Based on RFID
F Chen – Mobile Ad-hoc and Sensor Networks: 13th International …, 2018 – books.google.com
… subspace. After that, we can solve the phase error estimation value by Genetic algorithm. –Since … pp. 303–316 (2014) 2. Ziaie, P., Muller, T., Knoll, A.: A novel approach to hand-gesture recognition in a human-robot dialog system. In …
Article in Press IJIMAI journal
CG García, ER Núñez-Valdez, V García-Díaz… – researchgate.net
… Thus, after several attempts, they would be getting better machines (or even worse), something that Turing compared with the process of evolution and that several researchers would later develop under the name of genetic algorithms [3]. Based on this, Turing talked about …
Joint Learning of Interactive Spoken Content Retrieval and Trainable User Simulator
PH Chung, K Tung, CL Tai, HY Lee – arXiv preprint arXiv:1804.00318, 2018 – arxiv.org
… [5] S.-B. Cho, “Emotional image and musical information retrieval with interactive genetic algorithm,” Proceedings of the IEEE, vol … 97–126, 2006. [17] LE Asri, J. He, and K. Suleman, “A sequence-to-sequence model for user simulation in spoken dialogue systems,” arXiv preprint …
Direction of arrival estimation and localization of multi-speech sources
N Dey, AS Ashour – 2018 – Springer
… Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use …
Certain Approaches to Automated Designing of Competence-Oriented Models for Knowledge Engineers Using the Tutoring Integrated Expert Systems
GV Rybina, ES Fontalina – … Conference on Applied Human Factors and …, 2018 – Springer
… tutoring completion (web-testing of the students with generation of options based on the genetic algorithm is used … as Applied Mathematics and Informatics and Software Engineering, in particular: Introduction in Intelligent Systems, Intelligent Dialog Systems, Dynamic Intelligent …
Intent detection for spoken language understanding using a deep ensemble model
M Firdaus, S Bhatnagar, A Ekbal… – Pacific Rim International …, 2018 – Springer
… Spoken Language understanding (SLU) in human/machine dialog systems aim to identify the intent of the user as expressed in natural … Scholar. 3. Ekbal, A., Saha, S.: Weighted vote-based classifier ensemble for named entity recognition: a genetic algorithm-based approach …
From Reinforcement Learning to Deep Reinforcement Learning: An Overview
F Agostinelli, G Hocquet, S Singh, P Baldi – Braverman Readings in …, 2018 – Springer
… In 1975, Holland developed genetic algorithms [42], paving the way for reinforcement learning based on evolutionary algorithms … Other potential industrial applications have included packet routing [12], financial trading [73], and dialog systems [58] …
A review of the application of natural language processing in clinical medicine
S Wang, F Ren, H Lu – 2018 13th IEEE Conference on …, 2018 – ieeexplore.ieee.org
… include syntactic and semantic analysis, information extraction, text mining, machine translation, information retrieval, Q&A sys- tems and dialogue systems … Zou Li [35]proposed a multi-class classification algorithm based on genetic algorithm and decision tree to support vector …
Learning Bayesian Network Structure from Data
C Hao – 2018 – cs.elte.hu
… In artificial intelligence area, Bayesian networks have been used in natural spoken dialog systems, vision recognition, expert system. Recently, Bayesian … 5. Return S . Genetic algorithms Genetic algorithms simulate natural evolution through the iterative selection of the …
Context analysis of customer requests using a hybrid adaptive neuro fuzzy inference system and hidden Markov models in the natural language call routing …
S Rustamov, E Mustafayev, MA Clements – Open Engineering, 2018 – degruyter.com
… With the aim of finding a solution to this issue, the Hybrid HMM and ANFIS models become a subject to an examination. Combining different types of models (ANFIS and HMM) can prevent misunderstanding by the system for identification of user intention in dialogue system …
A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios
X Zhang, X Ming, Z Liu, D Yin, Z Chen… – The International Journal …, 2018 – Springer
… May 2013, in the “Exo-brain program,” South Korea is expected to develop the natural language dialog system for human … 35] Predict pollutant emission concentrations Mini-max probability machine regression model [36] Product lifecycle management Genetic algorithm (GA) [37 …
Ship operational performance modelling for voyage optimization through fuel consumption minimization
M Chaal – 2018 – commons.wmu.se
… 4.3.1. Genetic Algorithm parameters ….. 46 4.3.2. Scenarios ….. 46 … 28 Figure 3-4 The cycle of Genetic Algorithms (Konar, 2000) …. 30 …
Phase Detection in Medical Context: Overview and Outlook
P Philipp – Proceedings of the 2017 Joint Workshop of …, 2018 – books.google.com
… for representing sequential dependencies for systems in which internal states are visible to an observer (eg Dialogue Systems). Fur- thermore, SPN is an generative approach allowing for an online classification. A data-driven training is possible, eg by using genetic algorithms …
Automatic Poetry Generation with Mutual Reinforcement Learning
X Yi, M Sun, R Li, W Li – Proceedings of the 2018 Conference on …, 2018 – aclweb.org
… Genetic algorithms (Manurung, 2003; Levy, 2001), Statistical Machine Transla- tion (SMT) approaches (He et al., 2012; Jiang and Zhou, 2008) and Automatic Summarization ap- proaches (Yan et al., 2013) are all adopted to gen- erate poetry …
A Stacked Technique for Gender Recognition Through Voice
P Gupta, S Goel, A Purwar – 2018 Eleventh International …, 2018 – ieeexplore.ieee.org
… Many spoken-dialog systems work only on the sequences of words from speaker’s voice, they miss utilizing the other useful … download.html [14] Jayasankar T., Vinothkumar K., and Vijayaselvi A., “Automatic Gender Identification in Speech Recognition by Genetic Algorithm,” Appl …
Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community
L Moreno-Izquierdo, G Egorova, A Peretó Rovira… – 2018 – rua.ua.es
… Investigaciones Regionales – Journal of Regional Research, 42 (2018) – Pages 113 to 128 Chen, KY, and Wang, CH (2007): «Support vector regression with genetic algorithms in forecasting tourism demand», Tourism Management, 28(1), 215-226 …
ICMLA 2017
VM Tavano – ieeexplore.ieee.org
… 785 Anish Anil Patankar (Samsung R and D Institute Bangalore) and Joy Bose (Samsung R and D Institute Bangalore) Adjusting Real-Time Mode Transitions via Genetic Algorithms 789 Gordon Chalmers (University of Georgia) and Shelby H. Funk (University of Georgia) …
Smart and Innovative Trends in Next Generation Computing Technologies: Third International Conference, NGCT 2017, Dehradun, India, October 30-31 …
P Bhattacharyya, HG Sastry, V Marriboyina, R Sharma – 2018 – books.google.com
Page 1. Pushpak Bhattacharyya Hanumat G. Sastry Venkatadri Marriboyina Rashmi Sharma (Eds.) Communications in Computer and Information Science 827 Smart and Innovative Trends in Next Generation Computing Technologies …
Analyzing Chatbots Data with Data Mining
ACD Amaral – 2018 – repositorio-aberto.up.pt
Page 1. FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Analyzing Chatbots Data with Data Mining Ana Catarina Dias Amaral Mestrado Integrado em Engenharia Informática e Computação Supervisor: Carlos Soares Co-Supervisor: Cláudio Sá …
Energy and performance-aware scheduling and shut-down models for efficient cloud-computing data centers.
D Fernández Cerero – 2018 – idus.us.es
… deterministic energy-policies which shut-down idle machines; b) Five energy-aware scheduling algorithms, including several genetic algorithm models; c) A Stackel … plied. • Proof that genetic algorithms are an excellent solution to efficiently distribute …
A taxonomy of attacks via the speech interface
MK Bispham, I Agrafiotis, M Goldsmith – 2018 – ora.ox.ac.uk
… Alexa (see Figure 2). In order to control streaming of audio data to the cloud, current voice-controlled digital assistants include, in addition to the generic speech dialogue system components, an … [40] used a black-box attack method based on a genetic algorithm to engineer …
A Concise Introduction to Reinforcement Learning
A Hammoudeh – researchgate.net
… an optimization problem where a parameterized policy is updated to maximize the return using either gradient-free (ie Hill Climbing [39], Nelder Mead [40], compressed network search [41], Genetic Algorithms [42]) or … in the following subsection Dialogue systems are discussed …
Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training
J Li, Y Song, H Zhang, D Chen, S Shi, D Zhao… – Proceedings of the 2018 …, 2018 – aclweb.org
… Similar to that proposed for dialogue systems (Li et al., 2016), this evaluation is employed to measure character diversity by calculating the proportion of distinc- tive [1,4]-grams12 in the generated poems, where final distinctness values are normalized to [0,100] …
The Complexity of Coding Conversational Agents
U Ekman – researchgate.net
… whose premonitions concerning logic-based problem solving, intellectual activity as search, genetic algorithms, and the imitation game have continued to haunt the field. (Turing 2004 … 16 Figure 2. Simplified architecture of a spoken dialog system. (Pieraccini 2012, 170) …
Lired: A light-weight real-time fault detection system for edge computing using lstm recurrent neural networks
D Park, S Kim, Y An, JY Jung – Sensors, 2018 – mdpi.com
Monitoring the status of the facilities and detecting any faults are considered an important technology in a smart factory. Although the faults of machine can be analyzed in real time using collected data, it requires a large amount of computing resources to handle the massive data …
Images2Poem: Generating Chinese Poetry from Image Streams
L Liu, X Wan, Z Guo – 2018 ACM Multimedia Conference on Multimedia …, 2018 – dl.acm.org
Page 1. Images2Poem : Generating Chinese Poetry from Image Streams Lixin Liu, Xiaojun Wan and Zongming Guo Institute of Computer Science and Technology, Peking University Center for Data Science, Peking University …
Nonlinear semi-supervised metric learning via multiple kernels and local topology
X Li, Y Bai, Y Peng, S Du, S Ying – International journal of neural …, 2018 – World Scientific
Page 1. International Journal of Neural Systems, Vol. 28, No. 2 (2018) 1750040 (22 pages) c© World Scientific Publishing Company DOI: 10.1142/S012906571750040X Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology …
An Improved Formula for Jacobi Rotations
CF Borges, Z Majdisova, V Skala, A Monszpart… – arXiv preprint arXiv …, 2018 – arxiv.org
… Subjects: Computation and Language (cs.CL). arXiv:1806.07915 [pdf] Title: An Efficient Scheduling for Security Constraint Unit Commitment Problem Via Modified Genetic Algorithm Based on Multicellular Organisms Mechanisms …
Image Processing Technologies
K AlZAWA – content.taylorfrancis.com
… template matching [54], [68], relaxation method [69], gradient descent [67], [70], continuation method [71], Kalman filter-based estimation [72], dynamic programming [55], [73], and stochastic optimization algorithms such as simulated annealing [56] and genetic algorithms [74] …
Exploration and optimized siting of geothermal wells using a web-based spatial decision support system
DW Mwaura – 2018 – depositonce.tu-berlin.de
… In this aspect two popular algorithms; The Metropolis-Hasting algorithm and the Genetic algorithm were applied and their results were compared. The MCDA and optimization models were combined in a novel Web-based SDSS for geothermal scientists …
Group Cognition and Collaborative AI
J Koch, A Oulasvirta – Human and Machine Learning, 2018 – Springer
… Among examples that already exist are dialogue systems applying Belief–Desire– Intention models [48] and theoretical models for purposeful generation of speech acts [21] to construct meaningful expressions of objectives …
Strategies for online personalised nutrition advice employed in the development of the eNutri web app
RZ Franco, R Fallaize, F Hwang… – Proceedings of the …, 2018 – cambridge.org
… Regarding evolutionary algorithms (eg genetic algorithms), an article published in 2014 confirms the small influence of this field on nutri- tion recommendation systems and indicates how promising this application could be(63) …
Artificial Intelligence And Machine Learning And Marketing Management
J Seligman – 2018 – books.google.com
… Artificial intelligence covers a broad scope of methods and mainly Artificial Neural Networks, Fuzzy Logic and Genetic Algorithms. Their applications have widely used in the production industry and the past decade especially in the field of finance …
Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps
T Wu, L Tang, Z Xu, S Wen, C Paris, S Nepal… – arXiv preprint arXiv …, 2018 – arxiv.org
Page 1. arXiv:1805.07070v1 [cs.CR] 18 May 2018 Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps Tingmin Wu Swinburne University of Technology tingminwu@swin.edu.au …
Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods
E Mousavinasab, N Zarifsanaiey… – Interactive Learning …, 2018 – Taylor & Francis
Skip to Main Content …
Electricity markets and intelligent agents part ii: agent architectures and capabilities
F Lopes, H Coelho – Electricity Markets with Increasing Levels of …, 2018 – Springer
… The major categories are reinforcement learning (involving the Erev–Roth and Q-learning algorithms), evolutionary concepts (especially genetic algorithms and learning classifier systems) and model-based adaptation algorithms (naive or intuitive formulations tailored to …
The Sentient Machine: The Coming Age of Artificial Intelligence
A Husain – 2018 – books.google.com
Page 1. Praise for The Sentient Machine “Whether you are a business leader, policy maker, or entrepreneur, you need to understand artificial intelligence and its power to shape our future. In his brilliantly written book, Amir Husain …
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
M Lapan – 2018 – books.google.com
… Oleg’s previous work experience includes working in Dialog Systems Group, Yandex, as Data Scientist … Box Optimization in RL 443 Black-box methods 443 Evolution strategies 444 ES on CartPole 445 Results 450 ES on HalfCheetah 451 Results 456 Genetic algorithms 457 GA …
D’utilisable à véritablement engageant: Involved, un système de gestion énergétique persuasif pour les bâtiments
G Calvary, J Coutaz, M Pal, JP Guilbaud – 2018 – openscience.fr
… The CO2 model is a differential equation that uses room volumes, number of occupants, and CO2 concentration in adjacent rooms. The various parameters of the thermal models are determined using genetic algorithms to fit the measurements of the sensors [52]. 3.5 …
Dialog manager for conversational AI
BP Marek – 2018 – core.ac.uk
… ligence. The dialogue manager is the main part of the dialogue system, which communicates … networks[1], using word2vec and fastText word embedding vectors, and convolutional and recurrent neural networks as inputs to the dialogue system. We will use hyperparameter op …
Using Polarity Classification Model to Assess Customer Attitudes: the Case of Russian E-Commerce Companies on Twitter
T Alexander – 2018 – dspace.spbu.ru
Page 1. Saint Petersburg State University Graduate School of Management Master in Management Program USING POLARITY CLASSIFICATION MODEL TO ASSESS CUSTOMERS’ ATTITUDES: THE CASE OF RUSSIAN E-COMMERCE COMPANIES ON TWITTER …
A survey of workload assessment algorithms
J Heard, CE Harriott, JA Adams – IEEE Transactions on Human …, 2018 – ieeexplore.ieee.org
Page 1. 434 IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, VOL. 48, NO. 5, OCTOBER 2018 A Survey of Workload Assessment Algorithms Jamison Heard , Caroline E. Harriott, and Julie A. Adams , Senior Member, IEEE …
On the Interplay between Global Optimization and Machine Learning
F Bagattini, F Schoen, M Sciandrone, L Chisci – flore.unifi.it
Page 1. Universit`a degli Studi di Firenze Dipartimento di Ingegneria dell’Informazione (DINFO) Corso di Dottorato in Ingegneria dell’Informazione Curriculum: Automatica, Ottimizzazione e Sistemi Elettrici SSD MAT/09 On the Interplay between Global Optimization and …
Amanuensis: The Programmer’s Apprentice
T Dean, M Chiang, M Gomez, N Gruver, Y Hindy… – arXiv preprint arXiv …, 2018 – arxiv.org
Page 1. Amanuensis: The Programmer’s Apprentice Thomas Dean1,2 Maurice Chiang2 Marcus Gomez2 Nate Gruver2 Yousef Hindy2 Michelle Lam2 Peter Lu2 Sophia Sanchez2 Rohun Saxena2 Michael Smith2 Lucy Wang2 Catherine Wong2 Abstract …
Modeling players
GN Yannakakis, J Togelius – Artificial Intelligence and Games, 2018 – Springer
Page 1. Chapter 5 Modeling Players This chapter is dedicated to players and the use of AI for modeling them. This area of research is often called player modeling [782, 636]. We take player modeling to mean the detection, prediction …
Web forum retrieval and text analytics: A survey
D Hoogeveen, L Wang, T Baldwin… – … and Trends® in …, 2018 – nowpublishers.com
Page 1. Preprint Foundations and Trends R in Information Retrieval Vol. 12, No. 1 (2018) 1–163 c 2018 D. Hoogeveen, L. Wang, T. Baldwin, KM Verspoor DOI: 10.1561/1500000062 Web Forum Retrieval and Text Analytics: a Survey …
Learning Navigation Behaviors End to End
HTL Chiang, A Faust, M Fiser, A Francis – arXiv preprint arXiv:1809.10124, 2018 – arxiv.org
… On the adaptation of arbitrary normal mutation distributions in evolution strategies: The generating set adaptation. In Proc. of the International Conference on Genetic Algorithms, pages 57–64, 1995. [20] D. Helbing and P. Molnar. Social force model for pedestrian dynamics …
CSIndexbr: Exploring the Brazilian Scientific Production in Computer Science
MT Valente, K Paixão, D Hafner, D Tran, A Irpan… – arXiv preprint arXiv …, 2018 – arxiv.org
People recommendation on social media
I Guy – Social Information Access, 2018 – Springer
The social web has brought about many new types of recommender systems. One of the most important is recommendation of people, which bears many unique characteristics and challenges. In this chapter,…
Human-Machine Collaborative Optimization via Apprenticeship Scheduling
M Gombolay, R Jensen, J Stigile, T Golen… – Journal of Artificial …, 2018 – jair.org
… IRL has previously been successfully applied to autonomous driving (Abbeel & Ng, 2004), aerobatic helicopter flight (Abbeel, Coates, Quigley, & Ng, 2007), urban naviga- tion (Ziebart et al., 2008), spoken dialog systems (Chandramohan, Geist, Lefevre, & Pietquin, 2011), and …
Know Your CSI
CSI Headquarter, SV Park – mcet.in
Page 1. Knowledge Digest for IT Community 52 pages including cover www .csi-india.org IS SN 0970-647X Knowledge Digest for IT Community Volume No. 42 | Issue No. 10 | January 2019 50/- 52 pages including cover RESEARCH …
Automatic Syntactic Analysis Based on Selectional Preferences
A Gelbukh, H Calvo – 2018 – Springer
… The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft …
Artificial Intelligence for All: An Abiding Destination
V Pathak, P Tiwari – 2018 – books.google.com
Page 1. ARTIFICIAL INTELLIGENCE FOR ALL AN ABIDING DESTINATION º Nº. -º- 2 º nº 2 wº º: DR. PANKAT TIWARI VIKAS PATHAIK Page 2. Artificial Intelligence For All Artificial Intelligence For All i Page 3. Artificial Intelligence …
Lower Bound Resource Requirements for Machine Intelligence
T Gilmanov – 2018 – search.proquest.com
… proaches to solving problems ranging from mobile robot navigation and autonomous self-driving cars to personal assistants, logic game players and dialogue systems … the more complicated dialogue system, the Autonomous Moving Agent (AMA), and the 3-D facial …
Noise Robust Automatic Speech Recognition Based on Spectro-Temporal Techniques
G Kovács – 2018 – doktori.bibl.u-szeged.hu
… While I still think that evolutionary/genetic algorithms would not be the same as those today without the likes of Darwin and Mendel to introduce … From dictating systems to voice translation, from digital assistants like Siri, Google Now, and Cortana, to telephone dialogue systems …
System-Level Design of GPU-Based Embedded Systems
A Maghazeh – 2018 – books.google.com
Page 1. Linköping Studies in Science and Technology. Dissertations. No. 1964 System-Level Design of GPU-Based Embedded Systems Arian Maghazeh Page 2. Linköping Studies in Science and Technology. Dissertations. No …
Detecting New, Informative Propositions in Social Media
N Dewdney – 2018 – etheses.whiterose.ac.uk
Page 1. DOCTORAL THESIS Detecting New, Informative Propositions in Social Media Author: Nigel Dewdney Supervisor: Prof. Robert GAIZAUSKAS A thesis submitted in fulfillment of the requirements for the degree of Doctor of Philosophy …