Category:Machine learning

From Wikipedia, the free encyclopedia

Machine learning is a branch of statistics and computer science, which studies algorithms and architectures that learn from observed facts.

The main article for this category is Machine learning.

Subcategories

There are 5 subcategories to this category shown below (more may be shown on subsequent pages).

Pages in category "Machine learning"

There are 99 pages in this section of this category.

A

ALOPEX
Accuracy paradox
Algorithmic learning theory
Alpha (machine learning)
Analogical modeling
Artificial neural network

B

Bondy's theorem
Bongard problem
Bootstrap aggregating
Breve (software)

C

Computational learning theory
Computational theorist
Concept class
Concept drift
Concept learning
Conceptual clustering
Conditional random field
Confusion matrix
Cross-entropy method
Crossover (genetic algorithm)

D

Data clustering
Dendrogram
Dimensionality reduction
Document classification

E

Evolutionary algorithm
Evolutionary music
Expectation-maximization algorithm

F

FastICA
Feature extraction
Formal concept analysis

G

GSOM
Gaussian process
Generalization error

G cont.

Generative Topographic Map
Generative model
Glivenko-Cantelli class

H

Helmholtz machine
Hidden Markov model
Hierarchical Temporal Memory

I

ID3 algorithm
Inductive bias
Inductive logic programming
Information bottleneck method

J

Jabberwacky
Journal of Machine Learning Research

K

K-means algorithm
K-medoids
Kernel trick

L

LVQ
Learning Automata
Learning classifier system
List of important publications in statistics

M

Machine Learning (journal)
Machine learning
Mallet (software project)
Markov decision process
Meta learning (Computer Science)
Multi-armed bandit
Multi-task learning

N

Negative information
Neural Information Processing Systems
Non-negative matrix factorization
Nonlinear dimensionality reduction

O

Overfitting

P

Partially observable Markov decision process
Pattern recognition
Predictive learning

P cont.

Probably approximately correct learning

Q

Q-learning
Quadratic classifier

R

Rand index
Random forest
Reinforcement learning
Robot learning
Rough set

S

Self-organizing map
Semi-supervised learning
Shattering
Simultaneous localization and mapping
Smart variables
SmartMatch
Statistical classification
Stochastic gradient descent
Supervised learning
Support vector machine

T

Table of confusion
Teaching dimension
Temporal difference learning
Test set
Training set
Transduction (machine learning)

U

Unsupervised learning

V

VC dimension
Vapnik-Chervonenkis theory
Venn-networks
Version space
Viterbi algorithm

W

Witness set

Y

YALE

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Category:Machine learning

From Wikipedia, the free encyclopedia

Subcategories

B

C

E

N

R

Pages in category "Machine learning"

A

B

C

D

E

F

G

G cont.

H

I

J

K

L

M

N

O

P

P cont.

Q

R

S

T

U

V

W

Y

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