代码搜索:classifier

找到约 4,824 项符合「classifier」的源代码

代码结果 4,824
www.eeworm.com/read/255755/12057946

m subsc.m

%SUBSC Subspace Classifier % % W = SUBSC(A,N) % W = SUBSC(A,FRAC) % % INPUT % A Dataset % N or FRAC Desired model dimensionality or fraction of retained % variance per
www.eeworm.com/read/150905/12249241

m subsc.m

%SUBSC Subspace Classifier % % W = SUBSC(A,N) % W = SUBSC(A,FRAC) % % INPUT % A Dataset % N or FRAC Desired model dimensionality or fraction of retained % variance per
www.eeworm.com/read/149739/12353541

m subsc.m

%SUBSC Subspace Classifier % % W = SUBSC(A,N) % W = SUBSC(A,FRAC) % % INPUT % A Dataset % N or FRAC Desired model dimensionality or fraction of retained % variance per
www.eeworm.com/read/199528/5076118

java classifierfactory.java

package edu.stanford.nlp.classify; import java.util.*; /** @author Dan Klein */ public interface ClassifierFactory { Classifier trainClassifier(List examples); }
www.eeworm.com/read/175689/5343516

m contents.m

% Miscellaneous functions for STPRtoolbox. % % adaboost - AdaBoost algorithm. % adaclass - AdaBoost classifier. % cerror - Computes classification error. % crossval - Partions data
www.eeworm.com/read/429426/1948707

py bayes.py

# Description: Class that implements the naive Bayesian learner and classifier (warning: just for educational purposes, for real, use naive Bayes as implemented in core Orange) # Category: modelli
www.eeworm.com/read/428780/1954190

m contents.m

% Miscellaneous functions for STPRtoolbox. % % adaboost - AdaBoost algorithm. % adaclass - AdaBoost classifier. % cerror - Computes classification error. % crossval - Partions data
www.eeworm.com/read/293183/8310756

m classim.m

%CLASSIM Classify image using a given classifier % % labels = classim(D,N) % % Returns an image with the labels of the classified datasetimage D % (typically the result of a mapping or classificat
www.eeworm.com/read/171622/9744679

h relearningscheme.h

/* XCSR_DE1.0 * -------------------------------------------------------- * Learning classifier system based on accuracy in dynamic environments * * by Huong Hai (Helen) Dam * z3140959@itee.adfa.
www.eeworm.com/read/171622/9744685

h environment.h

/* XCSR_DE1.0 * -------------------------------------------------------- * Learning classifier system based on accuracy in dynamic environments * * by Huong Hai (Helen) Dam * z3140959@itee.adfa.