Tag: calo

What were you thinking?: filling in missing dataflow through inference in learning from demonstration MT Gervasio, JL Murdock – … of the 14th international conference on …, 2009 – dlacmorg Menlo Park, CA 94025, USA Tel: 1-650-859-4860 E-mail: janetmurdock@sricom ABSTRACT message. CALO KBs for Testing Pathfinder The CALO project involves an annual test designed to measure the effects of learning on performance. Evaluating User-Adaptive Systems: Lessons from Experiences with a Personalized Meeting Scheduling Assistant. PM Berry, T Donneau-Golencer, K Duong, MT Gervasio… – IAAI, 2009 – aaai. org Toward a Comprehensive Evaluation of PTIME The evaluations conducted in Years 2, 3, and 4 of the CALO project gave some insights into PTIME’s performance and value but yielded insufficient CALO: Cognitive Assistant that Learns and Organizes. Social media and the jasmine revolution FY Wang – Intelligent Systems, IEEE, 2011 – ieeexploreieeeorg user and the world. The CALO project management team won the DARPA Award for Excellence by a Performer in 2007. Machine learning that matters K Wagstaff – arXiv preprint arXiv:1206. Want world domination? win at risk!: matching to-do items with how-tos from the web D Vrande?i?, Y Gil, V Ratnakar – … of the 16th international conference on …, 2011 – dlacmorg The first dataset comes from the CALO project 2. Representing the Component Library into Ontology Design Patterns A Gangemi, VK Chaudhri – Workshop on Ontology Patterns, 2009 – ceur-ws. In the CALO project, the OWL ontology generated by this translator was used to integrate several diverse programming languages and reasoning modules . Discovering action idioms bridging the gap between system-level events and human-level actions M Gervasio, TJ Lee – … and Human-Centric Computing (VL/HCC) …, 2013 – ieeexploreieeeorg Lee Artificial Intelligence Center SRI International 333 Ravenswood Ave. S Eker, TJ Lee, MT Gervasio – AAAI Spring Symposium: Agents that Learn …, 2009 – aaai. Improving adjustable autonomy strategies for time-critical domains N Schurr, J Marecki, M Tambe – … of The 8th International Conference on …, 2009 – dlacmorg Page 1. Artificial Intelligence and Data Mining N Lee – Counterterrorism and Cybersecurity, 2013 – Springer voice recognition and information from the user’s contacts, music library, calendars, and reminders to better understand what the user says . Abstractive summarization of voice communications V Pallotta, R Delmonte, A Bristot – Human Language Technology. Cognitive Category Learning RD Paradis, JK Guo, J Olden-Stahl… – Procedia Computer …, 2012 – Elsevier Cps, 2005; On the Development of Personalized User Agents: A Model-driven Approach IO de Nunes – dbdpuc-riobr 5http://caloprojectsricom/ 11 Page 17. Despite this limitations, the CALO project substantially advanced on the development of user agents, also taking into account HCI issues that are essential to improve the chances of users adopting personal agents. Degrees of Orality in Speech-like Corpora: Comparative Annotation of Chat and E-mail Corpora. We thank all the members of the CALO project, especially Khang Duong and Julie Weber. JS Weber, K Toyama – AAAI Spring Symposium: Artificial Intelligence for …, 2010 – aaai. Going beyond PBD: A play-by-play and mixed-initiative approach H Jung, J Allen, W de Beaumont… – No Code Required: …, 2010 – csrochesteredu Conference on Artificial Intelligence, 1998 5. , Utilizing Natural Language for One- Shot Task Learning, Journal of Logic and Computation, doi: 0. Predicting the 85th Academy Awards S Barber, K Le, S O’Donnell – 2012 – Citeseer 5 References Kamal Nigam, Andrew McCallum, and Tom M Mitchell. //palsricom/CALOfiles/cstore/PAL- publications/calo/2005/ semisup-em. SmartSynth: synthesizing smartphone automation scripts from natural language V Le, S Gulwani, Z Su – Proceeding of the 11th annual international …, 2013 – dlacmorg Page 1. Are semantic desktops better?: summative evaluation comparing a semantic against a conventional desktop T Franz, S Ansgar, S Staab – … of the fifth international conference on …, 2009 – dlacmorg 1. Co-adaptation: Adaptive co-training for semi-supervised learning G Tur – Acoustics, Speech and Signal Processing, 2009. Learning About Meetings B Kim, C Rudin – arXiv preprint arXiv:1306. Learning About Meetings Been Kim and Cynthia Rudin Massachusetts Institute of Technology beenkim@csailmitedu,rudin@mitedu Abstract. Research for Future Training Modeling and Simulation Strategies FE Hartman – 2011 – DTIC Document 17 16 See The CALO-based Siri, a https://palsricom/Plone/framework/framework/ Components. Automatic Document Classification in Small Environments JD McElroy – 2012 – digitalcommonscalpolyedu Organizes (CALO) , a project lead by SRI International, focused on develop- ment of a smart desktop. 17 Policy Implications of Technologies for Cognitive Enhancement D Sarewitz, TH Karas – Neurotechnology: Premises, Potential, …, 2012 – booksgooglecom Page 295. Each classifier is trained on all the training data set where training examples of one 2 http://wwwaisricom/project/CALO Page 4. Improving human–agent communication using linguistic and ontological cues JPA Barthès – International Journal of Electronic Business, 2013 – Inderscience war room. A consortium of laboratories has been working on this initiative, led by SRI, a project called CALO Project (2006). More modestly in Australia, Nguyen (2007) developed a vocal interface with a set of agents. CO-WORKER: Toward Real-Time and Context-Aware Systems for Human Collaborative Knowledge Building S Squartini, A Esposito – Cognitive Computation, 2012 – Springer Meeting Assistance Approaches. As part of the CALO project, the system CALO-MA (CALO Meeting Assistant) [ 4 ] is designed to assist participants to a meeting. DARPA’s Cognitive Assistant Learns Organizes (CALO). Exchanging information among cognitive agents in collaborative environments J Barthes – Systems, Man, and Cybernetics (SMC), 2011 IEEE …, 2011 – ieeexploreieeeorg other agents. Applying machine learning for prediction, recommendation, and integration X Bao – 2009 – irlibraryoregonstateedu system. 3 Integrating Learning and Reasoning The third part of the dissertation discusses the Integrating Learning and Rea- soning project, which is a part of the CALO project [CALO, 2009] that helps computer users better organize their electronic resources. My participation to the CALO project was to extract user activities on a workstation Call Melissa Beers when arriving (0. Real-time tactical and strategic sales management for intelligent agents guided by economic regimes W Ketter, J Collins, M Gini, A Gupta… – Information Systems …, 2012 – pubsonlineinformsorg Page 1. The Impact of Automated Cognitive Assistants on Situational Awareness in the Brigade Combat Team CE Fischer – 2010 – kuscholarworkskuedu Page 1.