Learning Wireless Java
標(biāo)簽： Learning Wireless Java
上傳時間： 2014-11-23
上傳用戶：yxgi5
surpport vector machine,matlab
標(biāo)簽： surpport machine matlab vector
上傳時間： 2015-02-06
上傳用戶：sevenbestfei
Learning.Python.2nd.Edition
標(biāo)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(biāo)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(biāo)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(biāo)簽： polynomial regression weighted instance
上傳時間： 2013-11-28
上傳用戶：sunjet
JILRuntime A general purpose, register based virtual machine (VM) that supports object-oriented features, reference counting (auto destruction of data as soon as it is no longer used, no garbage collection), exceptions (handled in C/C++ or virtual machine code) and other debugging features. Objects and functions can be written in virtual machine code, as well as in C or C++, or any other language that can interface to C object code. The VM is written for maximum performance and thus is probably not suitable for embedded systems where a small memory footprint is required. Possible uses of the VM are in game development, scientific research, or to provide a stand-alone, general purpose programming environment.
標(biāo)簽： object-oriented JILRuntime register supports
上傳時間： 2013-12-23
上傳用戶：cc1015285075
一個SVM的MATLAB工具箱,Support Vector Machine toolbox for Matlab Version 2.51
標(biāo)簽： Machine Support toolbox Version
上傳時間： 2014-05-27
上傳用戶：Late_Li
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(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
上傳時間： 2013-11-30
上傳用戶：wcl168881111111
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