标签：classifier - 电子研发网

classifier 39条

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贝叶斯分类器

贝叶斯分类器，bayesian classifier,贝叶斯分类器，bayesian classifier

/dl/196597.html

标签： 贝叶斯分类器

上传时间： 2015-09-14

上传用户：cylnpy

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 a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...

/dl/252976.html

标签： meta-learning classifiers combining Boosting

上传时间： 2016-01-30

上传用户：songnanhua

自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法

自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法，简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。

/dl/278902.html

标签： Sequential Selection Forward matlab

上传时间： 2016-04-02

上传用户：ma1301115706

* 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. * afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries. * extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ...

/dl/322475.html

标签： acousticfeatures timeseries generate training

上传时间： 2013-12-26

上传用户：牛布牛

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 attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neur ...

/dl/370773.html

标签： multimedia Semantic analysis research

上传时间： 2016-11-24

上传用户：虫虫虫虫虫虫

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 Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo fi ...

/dl/439513.html

标签： well-known algorithm AdaBoost Adaptive

上传时间： 2014-01-15

上传用户：qiaoyue

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 classifiers

/dl/474435.html

标签： recognition classifier gestures moments

上传时间： 2017-08-06

上传用户：zhaiye

Bi-density twin support vector machines

In this paper we present a classifier called bi-density twin support vector machines (BDTWSVMs) for data classification. In the training stage, BDTWSVMs first compute the relative density degrees for all training points using the intra-class graph whose weights are determined by a local sc ...

/dl/520141.html

标签： recognition Bi-density machines support pattern vector twin for

上传时间： 2019-06-09

上传用户：lyaiqing

Guide to Convolutional Neural Networks

General paradigm in solving a computer vision problem is to represent a raw image using a more informative vector called feature vector and train a classifier on top of feature vectors collected from training set. From classification perspective, there are several off-the-shelf methods such as gradi ...

/dl/522507.html

标签： Convolutional Networks Neural Guide to

上传时间： 2020-06-10

上传用户：shancjb

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classifier 39条

按分类查找:

贝叶斯分类器

Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form

自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法

* 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

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

Bi-density twin support vector machines

Guide to Convolutional Neural Networks

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