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人工智能/神经网络 decision theory判决论英文版
decision theory判决论英文版
人工智能/神经网络 NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than st
NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
其他 模式识别中多类分类问题决策树间接Induction of Decision Trees
模式识别中多类分类问题决策树间接Induction of Decision Trees
微处理器开发 Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and c
Many of the pattern &#64257 nding algorithms such as decision tree, classi&#64257 cation rules and clustering
techniques that are frequently used in data mining have been developed in machine learning
research community. Frequent pattern and association rule mining is one of the few excep-
tions to ...
matlab例程 This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood seque
This demo shows the BER performance of linear, decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforwa ...
matlab例程 %For the following 2-class problem determine the decision boundaries %obtained by LMS and perceptro
%For the following 2-class problem determine the decision boundaries
%obtained by LMS and perceptron learning laws.
其他 I likr it very much.I hopp eyou like it and we work hard toghether ,haha
I likr it very much.I hopp eyou like it and we work hard toghether ,haha
VC书籍 NP-hard问题分析 NP-hard问题分析
NP-hard问题分析
NP-hard问题分析
磁盘编程 for displaying the details of hard drives in IDE drives only under Windows NT/2K and 9X
for displaying the details of hard drives in IDE drives only under Windows NT/2K and 9X
软件设计/软件工程 微软员工高质量代码编写及软件工程培训教材: I. M. Wright s "Hard Code" By Eric Brechner Publisher: Microsoft Press
微软员工高质量代码编写及软件工程培训教材:
I. M. Wright s "Hard Code"
By Eric Brechner
Publisher: Microsoft Press
Pub Date: September 12, 2007