List of machine learning concepts

This list is incomplete; you can help by expanding it.

Supervised learning

• AODE
• Artificial neural network
  • Backpropagation
  • Autoencoders
  • Hopfield networks
  • Boltzmann machines
  • Restricted Boltzmann Machines
  • Spiking neural networks
• Bayesian statistics
  • Bayesian network
  • Bayesian knowledge base
• Case-based reasoning
• Gaussian process regression
• Gene expression programming
• Group method of data handling (GMDH)
• Inductive logic programming
• Instance-based learning
• Lazy learning
• Learning Automata
• Learning Vector Quantization
• Logistic Model Tree
• Minimum message length (decision trees, decision graphs, etc.)
  • Nearest Neighbor Algorithm
  • Analogical modeling
• Probably approximately correct learning (PAC) learning
• Ripple down rules, a knowledge acquisition methodology
• Symbolic machine learning algorithms
• Support vector machines
• Random Forests
• Ensembles of classifiers
  • Bootstrap aggregating (bagging)
  • Boosting (meta-algorithm)
• Ordinal classification
• Information fuzzy networks (IFN)
• Conditional Random Field
• ANOVA
• Linear classifiers
  • Fisher's linear discriminant
  • Logistic regression
  • Multinomial logistic regression
  • Naive Bayes classifier
  • Perceptron
  • Support vector machines
• Quadratic classifiers
• k-nearest neighbor
• Boosting
• Decision trees
  • C4.5
  • Random forests
  • ID3
  • CART
  • SLIQ
  • SPRINT
• Bayesian networks
  • Naive Bayes
• Hidden Markov models

Unsupervised learning

• Expectation-maximization algorithm
• Vector Quantization
• Generative topographic map
• Information bottleneck method

Artificial neural network

• Self-organizing map

Association rule learning

• Apriori algorithm
• Eclat algorithm
• FP-growth algorithm

Hierarchical clustering

• Single-linkage clustering
• Conceptual clustering

Cluster analysis

• K-means algorithm
• Fuzzy clustering
• DBSCAN
• OPTICS algorithm

Outlier Detection

• Local Outlier Factor

Semi-supervised learning

• Generative models
• Low-density separation
• Graph-based methods
• Co-training

Reinforcement learning

• Temporal difference learning
• Q-learning
• Learning Automata
• SARSA

Deep learning

• Deep belief networks
• Deep Boltzmann machines
• Deep Convolutional neural networks
• Deep Recurrent neural networks
• Hierarchical temporal memory

Others

• Data Pre-processing
• List of artificial intelligence projects
• List of datasets for machine learning research