Kinds of supervised learning

Supervised learning

• Supervised learning
  • AODE
  • Association rule learning algorithms
    • Apriori algorithm
    • Eclat algorithm
  • 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
  • Quadratic classifiers
  • k-nearest neighbor
  • Boosting
    • SPRINT
  • Bayesian networks
    • Naive Bayes
  • Hidden Markov models

Artificial neural network

• Artificial neural network
  • Autoencoder
  • Backpropagation
  • Boltzmann machine
  • Convolutional neural network
  • Deep learning
  • Hopfield network
  • Multilayer perceptron
  • Perceptron
  • Radial basis function network (RBFN)
  • Restricted Boltzmann machine
  • Recurrent neural network (RNN)
  • Self-organizing map (SOM)
  • Spiking neural network

Bayesian

• Bayesian statistics
  • Bayesian knowledge base
  • Naive Bayes
  • Gaussian Naive Bayes
  • Multinomial Naive Bayes
  • Averaged One-Dependence Estimators (AODE)
  • Bayesian Belief Network (BBN)
  • Bayesian Network (BN)

Decision tree

• Decision tree algorithm
  • Classification and regression tree (CART)
  • Iterative Dichotomiser 3 (ID3)
  • C4.5 algorithm
  • C5.0 algorithm
  • Chi-squared Automatic Interaction Detection (CHAID)
  • Decision stump
  • Conditional decision tree
  • ID3 algorithm
  • Random forest
  • SLIQ

Linear classifier

• Linear classifier
  • Fisher's linear discriminant
  • Linear regression
  • Logistic regression
  • Multinomial logistic regression
  • Naive Bayes classifier
  • Perceptron
  • Support vector machine