代码搜索:Classifier

找到约 4,824 项符合「Classifier」的源代码

代码结果 4,824
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java decisiontree.java

/** * @(#)DecisionTree.java 1.5.0 09/01/18 */ package ml.classifier.dt; import java.util.Arrays; import ml.dataset.DataSet; import ml.dataset.Attribute; import ml.dataset.ContinuousAttribut
www.eeworm.com/read/449039/1683013

m fisherk.m

function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % FISHERK learns the Fisher classifier using Kozinec's rule. % [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % % FISHERK This algorith
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m fisherp.m

function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas) % FISHERP learns the Fisher classifier using Perceptron rule. % [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % % FISHERP This algorithm f
www.eeworm.com/read/449035/1683053

m fisherk.m

function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % FISHERK learns the Fisher classifier using Kozinec's rule. % [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % % FISHERK This algorith
www.eeworm.com/read/449035/1683055

m fisherp.m

function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas) % FISHERP learns the Fisher classifier using Perceptron rule. % [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % % FISHERP This algorithm f
www.eeworm.com/read/430506/1929440

m oaaclass.m

function [labels,dfce,multi_dfce] = oaaclass(data,model) % OAACLASS One-Against-All SVM classifier. % [labels] = oaaclass(data,model) % % Inputs: % data [dim x num_data] data to be classified. % Mo
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m fisherk.m

function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % FISHERK learns the Fisher classifier using Kozinec's rule. % [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % % FISHERK This algorith
www.eeworm.com/read/430506/1929554

m fisherp.m

function [alphas,solution,t]=fisherp(X,J,K,tmax,t,alphas) % FISHERP learns the Fisher classifier using Perceptron rule. % [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas) % % FISHERP This algorithm f
www.eeworm.com/read/429717/1946292

tcl rtm_link.tcl

# # rtm_link.tcl # all the instproc's needed to set up the link structure # itself # # set up link classifier's slot table with 2 entries: # entry 0 : good box [default] # entry 1 : penalty box RTMec
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tcl rtm_link.tcl

# # rtm_link.tcl # all the instproc's needed to set up the link structure # itself # # set up link classifier's slot table with 2 entries: # entry 0 : good box [default] # entry 1 : penalty box RTMec