貝葉斯分類(lèi)器
貝葉斯分類(lèi)器，bayesian classifier,貝葉斯分類(lèi)器，bayesian classifier...
Classifier技術(shù)資料
?? 資源總數(shù)：39
?? 源代碼：4565
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?? Classifier全部資料 (39個(gè))
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form ...
自己編的matlab程序。用于模式識(shí)別中特征的提取。是特征提取中的Sequential Forward Selection方法
自己編的matlab程序。用于模式識(shí)別中特征的提取。是特征提取中的Sequential Forward Selection方法，簡(jiǎn)稱(chēng)sfs.它可以結(jié)合Maximum-Likelihood-Classi...
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. *
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries. *...
Semantic analysis of multimedia content is an on going research area that has gained a lot of atten
Semantic analysis of multimedia content is an on going research area that has gained a lot of atten...
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yo...
This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifier
This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifier...
Bi-density twin support vector machines
In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for&...
Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image using a more infor...