A suite of casino games
標(biāo)簽： casino suite games of
上傳時(shí)間： 2013-12-17
上傳用戶(hù)：yepeng139
Delphi 6 Installation instructions for the Registered Source Code version of VCLZip:
標(biāo)簽： Installation instructions Registered version
上傳時(shí)間： 2015-03-10
上傳用戶(hù)：qwe1234
package of develop dns
標(biāo)簽： package develop dns of
上傳時(shí)間： 2015-03-11
上傳用戶(hù)：凌云御清風(fēng)
The practice of enterprise application development has benefited from the emergence of many new enabling technologies. Multi-tiered object-oriented platforms, such as Java and .NET, have become commonplace.
標(biāo)簽： application development enterprise benefited
上傳時(shí)間： 2015-03-11
上傳用戶(hù)：aig85
This a collection of algorithms for sorting and searching.
標(biāo)簽： collection algorithms searching sorting
上傳時(shí)間： 2013-12-18
上傳用戶(hù)：netwolf
This driver implements a COM port interface for USB Point-of-Sale devices
標(biāo)簽： Point-of-Sale implements interface devices
上傳時(shí)間： 2013-12-22
上傳用戶(hù)：希醬大魔王
some example source of java,for beginner.inside there are a lot of sample examples
標(biāo)簽： beginner examples example inside
上傳時(shí)間： 2014-03-12
上傳用戶(hù)：yxgi5
The ROSETTA C++ library is a collection of C++ classes and routines that enable discernibility-based empirical modelling and data mining, developed as part of my dissertation. A brief presentation of the library can be found therein.
標(biāo)簽： discernibility-based collection routines ROSETTA
上傳時(shí)間： 2015-03-12
上傳用戶(hù)：開(kāi)懷常笑
This a separate release of the OpenSS7 X/Open XTI/TLI library, TLI modules (timod, tirdwr) and the INET driver (inet) that provides Unix98 compatible interface to Linux NET4 TCP/IP stacks, and all the necessary manpages and other documentation. Although these components are contained in our LiS and Linux Fast-STREAMS releases, this tarball configures, builds and installs these components separate from those releases.
標(biāo)簽： TLI the separate OpenSS7
上傳時(shí)間： 2015-03-12
上傳用戶(hù)：mikesering
最新的支持向量機(jī)工具箱，有了它會(huì)很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999.
上傳時(shí)間： 2013-12-16
上傳用戶(hù)：亞亞娟娟123
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