代码搜索：Learning
找到约 5,352 项符合「Learning」的源代码
代码结果 5,352
www.eeworm.com/read/474600/6813443
m optimal_brain_surgeon.m
function [test_targets, Wh, Wo, J] = Optimal_Brain_Surgeon(train_patterns, train_targets, test_patterns, params)
% Classify using a backpropagation network with a batch learning algorithm and remov
www.eeworm.com/read/193967/8202964
arff cpu.arff
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. S
www.eeworm.com/read/193967/8202980
arff cpu.with.vendor.arff
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. S
www.eeworm.com/read/393565/8275366
m svm_learn.m
function status = svm_learn(options, examples, model)
% SVM_LEARN - Interface to SVM light, learning module
%
% STATUS = SVM_LEARN(OPTIONS, EXAMPLES, MODEL)
% Call the training program 'svm_learn
www.eeworm.com/read/367281/9762625
arff cpu.arff
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. S
www.eeworm.com/read/367281/9762635
arff cpu.with.vendor.arff
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. S
www.eeworm.com/read/415313/11076914
arff cpu.arff
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. S
www.eeworm.com/read/415313/11076970
m svm_learn.m
function status = svm_learn(options, examples, model)
% SVM_LEARN - Interface to SVM light, learning module
%
% STATUS = SVM_LEARN(OPTIONS, EXAMPLES, MODEL)
% Call the training program 'svm_learn