代码搜索：classifiers
找到约 2,305 项符合「classifiers」的源代码
代码结果 2,305
www.eeworm.com/read/429426/1948831
py classifierbylookuptable.py
# Description: Shows how to construct and use classifiers by lookup table to construct new features from the existing
# Category: classification, lookup classifiers, constructive induction, featur
www.eeworm.com/read/191902/8417251
m components_without_df.m
function D = Components_without_DF(train_features, train_targets, Classifiers, region)
% Classify points using component classifiers with discriminant functions
% Inputs:
% train_features - Trai
www.eeworm.com/read/177129/9468910
m components_without_df.m
function D = Components_without_DF(train_features, train_targets, Classifiers, region)
% Classify points using component classifiers with discriminant functions
% Inputs:
% train_features - Trai
www.eeworm.com/read/349842/10796839
m components_without_df.m
function D = Components_without_DF(train_features, train_targets, Classifiers, region)
% Classify points using component classifiers with discriminant functions
% Inputs:
% train_features - Trai
www.eeworm.com/read/457731/7318632
m naive_bayes.m
%
% naive_bayes.m
%
% created by Sunghwan Yoo
%
%
% Goal: predict label Y given X
%
% Naive Bayes
% ===========
%
% Learning:
% Compute prior probabilities p(Y=1), and p(Y=0)
% For
www.eeworm.com/read/316604/13520474
m components_without_df.m
function D = Components_without_DF(train_features, train_targets, Classifiers, region)
% Classify points using component classifiers with discriminant functions
% Inputs:
% train_features - Trai
www.eeworm.com/read/359185/6352541
m components_without_df.m
function D = Components_without_DF(train_features, train_targets, Classifiers, region)
% Classify points using component classifiers with discriminant functions
% Inputs:
% train_features - Trai
www.eeworm.com/read/493206/6398551
m components_without_df.m
function D = Components_without_DF(train_features, train_targets, Classifiers, region)
% Classify points using component classifiers with discriminant functions
% Inputs:
% train_features - Trai
www.eeworm.com/read/410924/11264962
m components_without_df.m
function D = Components_without_DF(train_features, train_targets, Classifiers, region)
% Classify points using component classifiers with discriminant functions
% Inputs:
% train_features - Trai