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% Quadratic discriminant function. % % quaddemo - Demonstrates use of non-linear data mapping. % % qtransf - Non-linear mapping for quadratic discriminant function. % quad2d - Computes
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% Support Vector Machines. % % msmo - Multi-class version of SMO. % msvmclass - Multi-class version of SVMCLASS. % msvmmot - Multi-class version of SVMMOT. % ka - Kernel-Adatron algo
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% Functions for handling with data sets. % % ascii2xi - Loads data from ASCII files. % checkdat - Checks files with internal data format. % chgnum - Changes members of given vector. %
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% Functions for handling with data sets. % % checkdat - Checks files with internal data format. % chgnum - Changes members of given vector. % creatset - Interactive dialog for data set
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% Separating of two finite point sets by a hyperplane. % % lindemo - Demo on using of linear learning algorithms % described below. % % Algorithms: % ekozinec - Finds epsilon-o
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% Linear discriminant function. % % Included algorithms: % (dir) anderson - Algorithms solving Generalized Anderson's task. % (dir) finite - Algorithms separating finite point sets by a hyperp
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% Generalized Anderson's task. % % andrdemo - Demonstrates algorithms which find solution of % the Generalized Anderson's task (GAT). % % Algorithms: % oanders - Original Ander
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% Fisher`s classifier % % fishdemo - Demo on algorithms which find Fisher's classifier. % % Algorithms: % fisherp - Modified Perceptron's lerning rule. % fisherk - Modified Kozinec's algori
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% Statistical Pattern Recognition Toolbox. % % Contents % % bayes - (dir) Bayes classification. % datasets - (dir) Functions for handling with data sets. % generalp - (dir) General purpose
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% Tim Bailey's Gaussian Mixture Model and Gaussian Kernel MatLab Utilities % Version 1.0, 2006. % % http://www.acfr.usyd.edu.au/homepages/academic/tbailey/software/software.html % % approximate_g
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