代码搜索：classifier

找到约 4,824 项符合「classifier」的源代码

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m~ bayesdf.m~

function quad_model=bayesdf(model) % BAYESDF Computes decision boundary of Bayesian classifier. % % Synopsis: % quad_model = bayesdf(model) % % Description: % This function computes parameter
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m bayesdf.m

function quad_model=bayesdf(model) % BAYESDF Computes decision boundary of Bayesian classifier. % % Synopsis: % quad_model = bayesdf(model) % % Description: % This function computes parameter
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www.eeworm.com/read/312163/13617452

m contents.m

% Miscellaneous functions for STPRtoolbox. % % adaboost - AdaBoost algorithm. % adaclass - AdaBoost classifier. % cerror - Computes classification error. % crossval - Partions data
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m~ contents.m~

% Miscellaneous functions for STPRtoolbox. % % adaboost - AdaBoost algorithm. % adaclass - AdaBoost classifier. % cerror - Computes classification error. % crossval - Partions data
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java adaboostm2.java

/* Copyright (C) 2002 Univ. of Massachusetts Amherst, Computer Science Dept. This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit). http://www.cs.umass.edu/~mccallum/mallet Th
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txt see5sam.txt

To run See5Sam.exe from a command prompt window: * Make sure that you have run See5 on your application to construct the kind of classifier that you want to use. * Put See5Sam.exe in the
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www.eeworm.com/read/493294/6399926

m perlc.m

% PERLC - Train a linear perceptron classifier % % W = PERLC(A) % W = PERLC(A,MAXITER,ETA,W0) % % INPUT % A Training dataset % MAXITER Maximum number of iterations (default 100) % E
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m stump_dd.m

%STUMP_DD Threshold one dim. one-class classifier % % W = STUMP_DD(A,FRACREJ,DIM) % % Put a threshold on one of the feature dimensions DIM of dataset A. The % threshold is put such that a frac
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m random_dd.m

%RANDOM_DD Random one-class classifier % % W = RANDOM_DD(A,FRACREJ) % % This is the trivial one-class classifier, randomly assigning labels % and rejecting FRACREJ of the data objects. This pr
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www.eeworm.com/read/493294/6400301

m prex_mcplot.m

%PREX-MCPLOT PRTools example on a multi-class classifier plot help prex_mcplot echo on gridsize(100) % Generate twice normally distributed 2-class data in 2D a = +gendath([20,20]); %
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