List of Machine Learning algorithms

• Almeida Pineda Recurrent Backpropagation

• Backpropagation

• Bootstrap Aggregating

• CN2 Algorithm

• Constructing Skill Trees

• Dehaene Changeux Model

• Diffusion Map

• Dominance-Based Rough Set Approach

• Dynamic Time Warping

• Error-Driven Learning

• Evolutionary Multimodal Optimization

• Expectation Maximization Algorithm

• FastICA

• Forward Backward Algorithm

• GeneRec

• Genetic Algorithm for Rule Set Production

• Growing Self-Organizing Map

• HEXQ

• Hyper Basis Function Network

• IDistance

• K-Nearest Neighbors Algorithm

• Kernel Methods for Vector Output

• Kernel Principal Component Analysis

• Leabra

• Learning to Learn

• Linde Buzo Gray Algorithm

• Local Outlier Factor

• LogitBoost

• Loss Functions for Classification

• Manifold Alignment

• Minimum Redundancy Feature Selection

• Multiple Kernel Learning

• Non-Negative Matrix Factorization

• Prefrontal Cortex Basal Ganglia Working Memory

• Primary Value Learned Value  Model

• Q-Learning

• Quadratic Unconstrained Binary Optimization

• Query Level Feature

• Quickprop

• Radial Basis Function Network

• Randomized Weighted Majority Algorithm

• Reinforcement Learning

• Rprop

• Semi-supervised Learning

• Skill Chaining

• Sparse PCA

• State-Action-Reward-State-Action

• Stochastic Gradient Descent

• Supervised Learning

• T-Distributed Stochastic Neighbor Embedding

• Temporal Difference Learning

• Transduction

• Unsupervised Learning

• Wake-Sleep Algorithm

• Weighted Majority Algorithm