Supervised Learning

Related Fields


Parent Topic:

Computer Science, Machine learning

Child Topic:

Learning vector quantization, Bayesian interpretation of regularization, Additive model, Curse of dimensionality, Online machine learning, Inductive bias, Structural risk minimization, Random forest, Pruning, Relevance vector machine, Generalization error, Early stopping, Random subspace method, Logistic model tree, Bootstrap aggregating, Regularization, Cross-validation, Hyperparameter optimization, BrownBoost, Gradient boosting, Empirical risk minimization, Mean integrated squared error, Stability, Ranking SVM, K-SVD

Top Authors


Paper Recommendation
1993 C4.5: Programs For Machine Learning

2001 THE SEMANTIC WEB.

1995 Pattern Recognition and Neural Networks

1999 A Re-examination of Text Categorization Methods

1989 Adaptive Pattern Recognition and Neural Networks

1983 Neuronlike Adaptive Elements That Can Solve Difficult Learning Control Problems

2002 Statistical Pattern Recognition

1994 Hierarchical Mixtures of Experts and The EM Algorithm

1989 Neural Computing: Theory and Practice

1997 Hierarchically Classifying Documents Using Very Few Words

1999 Making Large-scale Support Vector Machine Learning Practical

2006 Statistical Comparisons of Classifiers Over Multiple Data Sets

1993 Coding Decision Trees

1992 A Training Algorithm For Optimal Margin Classifiers

1989 Fast Learning in Networks of Locally-tuned Processing Units

1977 Shape Discrimination Using Fourier Descriptors

1985 Pattern-recognizing Stochastic Learning Automata

2005 A Bayesian Hierarchical Model For Learning Natural Scene Categories

1991 Computer Systems That Learn

1987 On The Recognition of Printed Characters of Any Font and Size