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Interior Point Optimizer for SVM Pattern Recognition的原程序
標(biāo)簽： Recognition Optimizer Interior Pattern
上傳時(shí)間： 2013-12-30
上傳用戶：wsf950131
電源設(shè)計(jì)的一個(gè)Power point。可以看看，入門(mén)還可以的。
標(biāo)簽： Power point 電源設(shè)計(jì)
上傳時(shí)間： 2015-05-12
上傳用戶：mpquest
classical examples of database development based on Visual FoxPro 7.0
標(biāo)簽： development classical examples database
上傳時(shí)間： 2014-01-03
上傳用戶：zhanditian
The Point-to-Point Protocol (PPP) for the Transmission of Multi-protocol Datagrams over Point-to-Point Links Status of this Memo This RFC specifies an IAB standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "IAB Official Protocol Standards" for the standardization state and status of this protocol. Distribution of this memo is unlimited.
標(biāo)簽： Point-to-Point Multi-protocol Transmission Datagrams
上傳時(shí)間： 2014-01-22
上傳用戶：cazjing
RFC1661 PPP協(xié)議 （RFC1661 The Point-to-Point Protocol (PPP)） 本備忘錄狀態(tài) This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited.
標(biāo)簽： 1661 Point-to-Point informatio RFC
上傳時(shí)間： 2014-12-07
上傳用戶：569342831
Connecting an M68HC08 Family Microcontroller to an Internet Service Provider (ISP) Using the Point-to-Point Protocol (PPP)
標(biāo)簽： Microcontroller Connecting Internet Provider
上傳時(shí)間： 2013-12-11
上傳用戶：bibirnovis
An open-source WWW discussion Forum based on JSP/Servlets which uses JDBC to store and retrieve messages from a database
標(biāo)簽： open-source discussion Servlets retrieve
上傳時(shí)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(biāo)簽： least-squares unconstrained Statisti Applied
上傳時(shí)間： 2015-05-14
上傳用戶：aig85
SVM example. based on SVM realize.
標(biāo)簽： SVM example realize based
上傳時(shí)間： 2014-12-07
上傳用戶：aix008
finger print toolboox based on matlab，
標(biāo)簽： toolboox finger matlab based
上傳時(shí)間： 2015-05-16
上傳用戶：ikemada
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