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 Systems | PLOW (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