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
Embedded Web Server Architecture for Web-based Element and Network Management關于嵌入式Web服務器的完整論文
標簽： Architecture Management Web Web-based
上傳時間： 2015-03-22
上傳用戶：jyycc
用于腦電信號特征提取的InfoMax Algorithm Based on ICA；也可以稍作改動用于其他信息提取。
標簽： Algorithm InfoMax Based ICA
上傳時間： 2014-01-22
上傳用戶：diets
The JDOM build system is based on Jakarta Ant, which is a Java building tool originally developed for the Jakarta Tomcat project but now used in many other Apache projects and extended by many developers.
標簽： originally developed building Jakarta
上傳時間： 2014-01-19
上傳用戶：xg262122
這是最新版本修正過後的8051,經過debug並有實現在某家公司的silicon上ㄛ
上傳時間： 2014-01-27
上傳用戶：woshiayin
MX1(Arm9 based)Linux USB driver
上傳時間： 2014-01-01
上傳用戶：qq21508895
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.
標簽： object-oriented JILRuntime register supports
上傳時間： 2013-12-23
上傳用戶：cc1015285075
Entropy-based CLIQUE算法改進
標簽： Entropy-based CLIQUE 算法改進
上傳時間： 2015-04-06
上傳用戶：manking0408
rtp/rtcp協議棧源代碼 based on rfc 3550
上傳時間： 2013-12-16
上傳用戶：希醬大魔王
Description: FASBIR(Filtered Attribute Subspace based Bagging with Injected Randomness) is a variant of Bagging algorithm, whose purpose is to improve accuracy of local learners, such as kNN, through multi-model perturbing ensemble. Reference: Z.-H. Zhou and Y. Yu. Ensembling local learners through multimodal perturbation. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2005, vol.35, no.4, pp.725-735.
標簽： Description Randomness Attribute Filtered
上傳時間： 2015-04-10
上傳用戶：ynzfm
