Machine Learning & Dialog Systems


Category:Machine learning 

See also:

Active Learning & Dialog Systems | Agent Building and Learning Environment (ABLE) | CLASSiC (Computational Learning in Adaptive Systems for Spoken Conversation) | Deep Learning & Dialog Systems | Machine Learning | Machine Learning & Chatbots | Neural Networks & Dialog SystemsPLOW (Procedure Learning on the Web) | Selectional Preference Learning 


A
Accuracy paradox
Active learning
Adjusted mutual information
Algorithmic inference
Apprenticeship learning 
B
Bag-of-words model
Base rate
Binary classification
Bongard problem 
C
Category utility
CBCL
CellCognition
CIML
Cluster analysis
Computational learning theory
Concept drift
Concept learning
Conditional random field
Conference on Neural Information Processing Systems
Confusion matrix
Coupled pattern learner
Cross-entropy method
Cross-validation
Curse of dimensionality 
D
DARPA LAGR Program
Data pre-processing
Decision list
Decision rules
Decision tree learning
Deep learning
Dimension reduction
Discriminative model
Document classification 
E
Eager learning
Early stopping
ECML PKDD
Elastic matching
Empirical risk minimization
Evolvability
Expectation propagation
Explanation-based learning 
F
Feature
Feature hashing
Feature scaling
Feature space
Feature vector
Formal concept analysis 
G
Generative model
Granular computing
Grid search 
H
Hashing-Trick
Hinge loss 
I
Ilastik
Inductive bias
Inductive transfer
Inferential theory of learning
Instance-based learning
International Conference on Machine Learning
Iris flower data set 
J
Journal of Machine Learning Research 
K
K q-flats
Knowledge integration 
L
Large margin nearest neighbor
Lazy learning
Learning automata
Learning to rank
Learning with errors
Leave one out error
Linear prediction function 
M
Machine Learning (journal)
Margin
Matthews correlation coefficient
Meta learning
Mixture model
Motor babbling
Mountain Car
Multi-armed bandit
Multi-task learning
Multilinear principal component analysis
Multilinear subspace learning
Multiple-instance learning
Multivariate adaptive regression splines 
N
Nearest neighbor search
Neural modeling fields 
O
Offline learning
Overfitting 
P
Parity learning
Pattern recognition
Predictive learning
Predictive state representation
Preference learning
Prior knowledge for pattern recognition
Proactive learning
Probability matching
Product of experts 
R
Rademacher complexity
Rand index
Representer theorem
Robot learning
Rule induction 
S
Semantic analysis
Semi-supervised learning
Sequence labeling
Smart variables
Social Terrain
Statistical classification
Statistical learning theory
Statistical relational learning
Structural risk minimization
Structured learning
Subclass reachability
Supervised learning 
T
Test set
Topological Media Lab
Training set
Transduction 
U
Ugly duckling theorem
Uncertain data
Uniform convergence
Unsupervised learning 
V
Version space
VIGRA 
W
Ward’s method