Content Based Audio Classification using Support Vector Machine
標簽： Classification Content Support Machine
上傳時間： 2015-04-21
上傳用戶：源弋弋
MODEL-BASED FINITE MIXTURES USING THE EM ALGORITHM的matlab實現(xiàn)
標簽： MODEL-BASED ALGORITHM MIXTURES FINITE
上傳時間： 2013-12-18
上傳用戶：徐孺
該程序代碼實現(xiàn)對Flash Rom AM29LV160燒寫數(shù)據(jù)的功能
上傳時間： 2013-12-18
上傳用戶：siguazgb
This a simple compressor based on aplib, yoda s Kernel code, and my own stuffing around. It only has one function with MANY limitations at the moment, but it is desinged for demo purposes only so it don t matter.
標簽： compressor stuffing Kernel simple
上傳時間： 2013-12-24
上傳用戶：13215175592
aPLib is a 32-bit compression library based on the compression algorithm used in aPACK (my executable packer). aPLib is an easy-to-use alternative to many of the heavy-weight compression libraries available.
標簽： compression algorithm executa library
上傳時間： 2013-11-30
上傳用戶：一諾88
網(wǎng)卡 BOOT ROM 的 64 住源程序。模塊有：核心代碼、H文件、網(wǎng)卡驅(qū)動程序、頭代碼文件。
上傳時間： 2015-05-05
上傳用戶：liansi
MATLABThe CD-ROM accompanying this book contains MATLAB® M-files (MATLAB language source code) and Simulink® block diagram models for designing, implementing and testing control systems.
標簽： MATLAB accompanying MATLABThe contains
上傳時間： 2013-11-26
上傳用戶：yyyyyyyyyy
classical examples of database development based on Visual FoxPro 7.0
標簽： development classical examples database
上傳時間： 2014-01-03
上傳用戶：zhanditian
An open-source WWW discussion Forum based on JSP/Servlets which uses JDBC to store and retrieve messages from a database
標簽： open-source discussion Servlets retrieve
上傳時間： 2015-05-13
上傳用戶：coeus
The module LSQ is for unconstrained linear least-squares fitting. It is based upon Applied Statistics algorithm AS 274 (see comments at the start of the module). A planar-rotation algorithm is used to update the QR- factorization. This makes it suitable for updating regressions as more data become available. The module contains a test for singularities which is simpler and quicker than calculating the singular-value decomposition. An important feature of the algorithm is that it does not square the condition number. The matrix X X is not formed. Hence it is suitable for ill- conditioned problems, such as fitting polynomials. By taking advantage of the MODULE facility, it has been possible to remove many of the arguments to routines. Apart from the new function VARPRD, and a back-substitution routine BKSUB2 which it calls, the routines behave as in AS 274.
標簽： least-squares unconstrained Statisti Applied
上傳時間： 2015-05-14
上傳用戶：aig85
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