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chine-learning

Learning Wireless Java

Learning Wireless Java

標(biāo)簽： Learning Wireless Java

上傳時(shí)間： 2014-11-23

上傳用戶：yxgi5
machine learning

machine learning

標(biāo)簽： learning machine

上傳時(shí)間： 2015-02-05

上傳用戶：來(lái)茴
Learning.Python.2nd.Edition

Learning.Python.2nd.Edition

標(biāo)簽： Learning Edition Python nd

上傳時(shí)間： 2014-11-24

上傳用戶：tfyt
Learning Standard C++ as a New Language

Learning Standard C++ as a New Language

標(biāo)簽： Learning Language Standard New

上傳時(shí)間： 2015-02-25

上傳用戶：libenshu01
USBFX2LK WDM drive for OSR s USB FX2 Learning Kit

USBFX2LK WDM drive for OSR s USB FX2 Learning Kit

標(biāo)簽： USBFX2LK Learning drive OSR

上傳時(shí)間： 2015-03-11

上傳用戶：huannan88
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning c

Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem

標(biāo)簽： polynomial regression weighted instance

上傳時(shí)間： 2013-11-28

上傳用戶：sunjet
Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP.

Description: S-ISOMAP is a manifold learning algorithm, which is a supervised variant of ISOMAP. Reference: X. Geng, D.-C. Zhan, and Z.-H. Zhou. Supervised nonlinear dimensionality reduction for visualization and classification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.6, pp.1098-1107.

標(biāo)簽： Description supervised algorithm S-ISOMAP

上傳時(shí)間： 2015-04-10

上傳用戶：wfeel
Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensibl

Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42. 使用神經(jīng)網(wǎng)絡(luò)集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.

標(biāo)簽： comprehensibl Description Rule-PANE accurate

上傳時(shí)間： 2013-11-30

上傳用戶：wcl168881111111
Learning GNU Emacs 3ed. Emacs和Vi是世界上最好用的編輯器

Learning GNU Emacs 3ed. Emacs和Vi是世界上最好用的編輯器，這本書(shū)是Emacs的入門(mén)教材。

標(biāo)簽： Emacs Learning GNU ed

上傳時(shí)間： 2014-11-26

上傳用戶：趙云興
Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by Da

Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg

標(biāo)簽： OPTIMIZATION ALGORITHMS LEARNING Programs

上傳時(shí)間： 2015-04-19

上傳用戶：

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