Classification algorithms
A decision-theoretic generalization of on-line learning and an application to boosting Original paper of Yoav Freund and Robert E.Schapire where Adaboost is first introduced.
Naive Bayesian learning paper ist
Naive Bayesian Learning (ResearchIndex)
The strength of weak learnability ist
The Strength of Weak Learnability - Schapire (ResearchIndex)
The boosting approach to machine learning: An overview ist
The Boosting Approach to Machine Learning: An Overview - Schapire (ResearchIndex)
YALE Is a free tool for machine learning and data mining
YALE - Yet Another Learning Environment
http://www.cise.ufl.edu/ cise fall short papers
ID3
http://www2.cs.uregina.ca courses notes
Machine Learning/Inductive Inference/Decision Trees/Overview
K nearest neighbor tutorial using MS Excel people tutorial
K Nearest Neighbors Tutorial
LDA tutorial using MS Excel people tutorial
Linear Discriminant Analysis (LDA) Tutorial
Tutorial about LDA from msstate.edu publications reports
jBNC - Bayesian Network Classifier Toolbox
jBNC - Bayesian Network Classifier Toolbox
PANOSE 2.0 White Paper fonts
PANOSE 2.0 White Paper
PANOSE 1.0 Reference printer
Monotype Imaging: Panose Guide
List of Pattern Recognition web sites cgm teaching web
Pattern Recognition on the Web
Perceptron demo applet and a introduction by examples library
Generation 5: Artificial Intelligence Repository - Perceptrons
Perceptron demo applet mantra tutorial english html
Perceptron Learning Applet
Mathematics of perceptrons cis hut
Multilayer perceptrons
History of perceptrons history
History of the Perceptron
R News (2002) Vol. 2/3 p. 18 (Implementation of a random forest)
Random Forest classifier description (Site of Leo Breiman)
Random forests - classification description
Breiman, Leo (2001). "Random Forests". Machine Learning 45 (1), 5-32 (Original Article)
Gist -- implementation of the SVM algorithm with feature selection.
Gist 2.2
LIBSVM -- A Library for Support Vector Machines, Chih-Chung Chang and Chih-Jen Lin
LIBSVM -- A Library for Support Vector Machines
SVMlight -- a popular implementation of the SVM algorithm by Thorsten Joachims; it can be used to solve classification, regression and ranking problems.
SVM-Light Support Vector Machine
www.support-vector.net (News, Links, Code related to Support Vector Machines - Academic Site)
Support Vector Machines - The Book - Support Vector
The Formulation of Support Vector Machine cam
The Formulation of Support Vector Machine
www.kernel-methods.net (News, Links, Code related to Kernel methods - Academic Site)
Kernel Methods for Pattern Analysis - The Book - Kernel Methods
www.kernel-machines.org (general information and collection of research papers)
Kernel Machines
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It uses material from the Wikipedia articles :
AdaBoost , Bayesian inference , Boosting , Data mining , ID3 algorithm , K-nearest neighbor algorithm , Linear discriminant analysis , Naive Bayes classifier , PANOSE , Pattern recognition , Perceptron , Random forest , Support vector machine , .
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