Supervised Learning - Approaches and Algorithms

Approaches and Algorithms

• Analytical learning
• Artificial neural network
• Backpropagation
• Boosting (meta-algorithm)
• Bayesian statistics
• Case-based reasoning
• Decision tree learning
• Inductive logic programming
• Gaussian process regression
• Gene Expression Programming
• Kernel estimators
• Learning Automata
• Minimum message length (decision trees, decision graphs, etc.)
• Naive bayes classifier
• Nearest Neighbor Algorithm
• Probably approximately correct learning (PAC) learning
• Ripple down rules, a knowledge acquisition methodology
• Symbolic machine learning algorithms
• Subsymbolic machine learning algorithms
• Support vector machines
• Random Forests
• Ensembles of Classifiers
• Ordinal classification
• Data Pre-processing
• Handling imbalanced datasets
• Statistical relational learning
• Proaftn, a multicriteria classification algorithm