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Learning Wireless Java
上傳時間： 2014-11-23
上傳用戶：yxgi5
machine learning
上傳時間： 2015-02-05
上傳用戶：來茴
Learning.Python.2nd.Edition
標簽： Learning Edition Python nd
上傳時間： 2014-11-24
上傳用戶：tfyt
Learning Standard C++ as a New Language
標簽： Learning Language Standard New
上傳時間： 2015-02-25
上傳用戶：libenshu01
USBFX2LK WDM drive for OSR s USB FX2 Learning Kit
標簽： USBFX2LK Learning drive OSR
上傳時間： 2015-03-11
上傳用戶：huannan88
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
標簽： polynomial regression weighted instance
上傳時間： 2013-11-28
上傳用戶：sunjet
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.
標簽： Description supervised algorithm S-ISOMAP
上傳時間： 2015-04-10
上傳用戶：wfeel
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. 使用神經網絡集成方法診斷糖尿病,肝炎,乳腺癌癥的案例研究.
標簽： comprehensibl Description Rule-PANE accurate
上傳時間： 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，這本書是Emacs的入門教材。
上傳時間： 2014-11-26
上傳用戶：趙云興
Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
標簽： OPTIMIZATION ALGORITHMS LEARNING Programs
上傳時間： 2015-04-19
上傳用戶：
