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LEARNING

rtp document , it is useful for LEARNING rtp

rtp document , it is useful for LEARNING rtp

標(biāo)簽： rtp document LEARNING useful

上傳時間： 2013-12-16

上傳用戶：王慶才
Machine LEARNING with WEKA: An Introduction （講義）關(guān)于數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)的.

Machine LEARNING with WEKA: An Introduction （講義）關(guān)于數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)的.

標(biāo)簽： Introduction LEARNING Machine with

上傳時間： 2013-12-27

上傳用戶：qq521
A matlab code for a reinforment LEARNING routing problem

A matlab code for a reinforment LEARNING routing problem

標(biāo)簽： reinforment LEARNING problem routing

上傳時間： 2015-07-19

上傳用戶：zhaoq123
machine LEARNING, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision

machine LEARNING, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based algorithms, discretization, lazy LEARNING, bagging, MineSet.

標(biāo)簽： decision cross-validation estimation bootstrap

上傳時間： 2015-07-26

上傳用戶：趙云興
C＋＋編寫的機(jī)器學(xué)習(xí)算法 Lemga is a C++ package which consists of classes for several LEARNING models and gener

C＋＋編寫的機(jī)器學(xué)習(xí)算法 Lemga is a C++ package which consists of classes for several LEARNING models and generic algorithms for optimizing (training) the models

標(biāo)簽： consists LEARNING classes package

上傳時間： 2014-01-21

上傳用戶：wangchong
LEARNING and Making Decisions When Costs and Probabilities are Both Unknown

LEARNING and Making Decisions When Costs and Probabilities are Both Unknown

標(biāo)簽： Probabilities Decisions and LEARNING

上傳時間： 2014-01-21

上傳用戶：waitingfy
XML相關(guān)書籍Oreilly.LEARNING.XML.2nd.Edition.eBook-LiB.chm

XML相關(guān)書籍Oreilly.LEARNING.XML.2nd.Edition.eBook-LiB.chm

標(biāo)簽： XML eBook-LiB LEARNING Oreilly

上傳時間： 2014-09-02

上傳用戶：123456wh
a chap 2 for learn ing about java, it is a good for begineer start from LEARNING for java

a chap 2 for learn ing about java, it is a good for begineer start from LEARNING for java

標(biāo)簽： for java begineer LEARNING

上傳時間： 2014-01-10

上傳用戶：evil
a chap 315 updated for learn ing about java, it is a good for begineer start from LEARNING for java

a chap 315 updated for learn ing about java, it is a good for begineer start from LEARNING for java

標(biāo)簽： for java begineer LEARNING

上傳時間： 2015-08-23

上傳用戶：思琦琦
算法實(shí)現(xiàn):Jieping Ye. Generalized low rank approximations of matrices. Machine LEARNING, Vol. 61, pp. 167

算法實(shí)現(xiàn):Jieping Ye. Generalized low rank approximations of matrices. Machine LEARNING, Vol. 61, pp. 167-191, 2005.

標(biāo)簽： approximations Generalized LEARNING matrices

上傳時間： 2015-08-29

上傳用戶：invtnewer

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LEARNING

rtp document , it is useful for LEARNING rtp

Machine LEARNING with WEKA: An Introduction （講義）關(guān)于數(shù)據(jù)挖掘和機(jī)器學(xué)習(xí)的.

A matlab code for a reinforment LEARNING routing problem

machine LEARNING, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision

C＋＋編寫的機(jī)器學(xué)習(xí)算法 Lemga is a C++ package which consists of classes for several LEARNING models and gener

LEARNING and Making Decisions When Costs and Probabilities are Both Unknown

XML相關(guān)書籍Oreilly.LEARNING.XML.2nd.Edition.eBook-LiB.chm

a chap 2 for learn ing about java, it is a good for begineer start from LEARNING for java

a chap 315 updated for learn ing about java, it is a good for begineer start from LEARNING for java

算法實(shí)現(xiàn):Jieping Ye. Generalized low rank approximations of matrices. Machine LEARNING, Vol. 61, pp. 167