This document contains a general overview in the first few sections as well as a more detailed reference in later sections for SVMpython. If you re already familiar with SVMpython, it s possible to get a pretty good idea of how to use the package merely by browsing through svmstruct.py and multiclass.py. This document provides a more in depth view of how to use the package. Note that this is not a conversion of SVMstruct to Python. It is merely an embedding of Python in existing C code. All code other than the user implemented API functions is still in C, including optimization.
標(biāo)簽： document contains detailed overview
上傳時(shí)間： 2013-12-14
上傳用戶：希醬大魔王
The development of a data acquisition card based on USB bus is introduced in this article.It first describes the configuration and principle of this card in the part of hardware design,and then the application program and device driver in the part of software design.Data acquisition program in firmware is also discussed.Finally,this data acquisition card is tested and evaluated in a program developed by Lab Windows CVI,which shows that this car is stable and reliable
標(biāo)簽： development acquisition introduced article
上傳時(shí)間： 2015-12-07
上傳用戶：lijianyu172
大廈游覽圖,通過命令行來(lái)實(shí)現(xiàn) System.out.println("where 顯示當(dāng)前在什么地方") System.out.println("list 列出當(dāng)前位置的物品") System.out.println("list allspots 列出大廈內(nèi)所有地點(diǎn)") System.out.println("list spots 列出當(dāng)前位置附近的地點(diǎn)") System.out.println("list goods 列出當(dāng)前位置的物品") System.out.println("goto someplace 到另一個(gè)地點(diǎn)") System.out.println("look somegoods 查詢某個(gè)物品是否在當(dāng)前地點(diǎn)") System.out.println("help 命令行幫助") System.out.println("exit 退出命令行")
標(biāo)簽： println System out where
上傳時(shí)間： 2015-12-08
上傳用戶：Miyuki
This is the tlc0834 driver, welcome everybody criticism to point out mistakes This is the tlc0834 driver, welcome everybody criticism to point out mistakes
標(biāo)簽： This 0834 criticism everybody
上傳時(shí)間： 2015-12-14
上傳用戶：caixiaoxu26
In addition to all the people who contributed to the first edition, we would like to thank the following individuals for their generous help in writing this edition. Very special thanks go to Jory Prather for verifying the code samples as well as fixing them for consistency. Thanks to Dave Thaler, Brian Zill, and Rich Draves for clarifying our IPv6 questions, Mohammad Alam and Rajesh Peddibhotla for help with reliable multicasting, and Jeff Venable for his contributions on the Network Location Awareness functionality. Thanks to Vadim Eydelman for his Winsock expertise. And finally we would like to thank the .NET Application Frameworks team (Lance Olson, Mauro Ottaviani, and Ron Alberda) for their help with our questions about .NET Sockets.
標(biāo)簽： the contributed addition to
上傳時(shí)間： 2015-12-17
上傳用戶：dongqiangqiang
《Head First Java》是本完整的面向?qū)ο螅╫bject-oriented，OO）程序設(shè)計(jì)和Java的學(xué)習(xí)指導(dǎo)。此書是根據(jù)學(xué)習(xí)理論所設(shè)計(jì)的，讓你可以從學(xué)習(xí)程序語(yǔ)言的基礎(chǔ)開始一直到包括線程、網(wǎng)絡(luò)與分布式程序等項(xiàng)目。最重要的，你會(huì)學(xué)會(huì)如何像個(gè)面向?qū)ο箝_發(fā)者一樣去思考。
標(biāo)簽： object-oriented First Head Java
上傳時(shí)間： 2013-12-11
上傳用戶：coeus
計(jì)算FIRST及FOLLOW集，生成ll(1)分析表
上傳時(shí)間： 2013-12-19
上傳用戶：2467478207
《Head First Java》是本完整的面向?qū)ο螅╫bject-oriented，OO）程序設(shè)計(jì)和Java的學(xué)習(xí)指導(dǎo)。此書是根據(jù)學(xué)習(xí)理論所設(shè)計(jì)的，讓你可以從學(xué)習(xí)程序語(yǔ)言的基礎(chǔ)開始一直到包括線程、網(wǎng)絡(luò)與分布式程序等項(xiàng)目。最重要的，你會(huì)學(xué)會(huì)如何像個(gè)面向?qū)ο箝_發(fā)者一樣去思考。
標(biāo)簽： object-oriented First Head Java
上傳時(shí)間： 2013-12-27
上傳用戶：cjl42111
《Head First Java》是本完整的面向?qū)ο螅╫bject-oriented，OO）程序設(shè)計(jì)和Java的學(xué)習(xí)指導(dǎo)。此書是根據(jù)學(xué)習(xí)理論所設(shè)計(jì)的，讓你可以從學(xué)習(xí)程序語(yǔ)言的基礎(chǔ)開始一直到包括線程、網(wǎng)絡(luò)與分布式程序等項(xiàng)目。最重要的，你會(huì)學(xué)會(huì)如何像個(gè)面向?qū)ο箝_發(fā)者一樣去思考。
標(biāo)簽： object-oriented First Head Java
上傳時(shí)間： 2013-12-26
上傳用戶：cx111111
When I first studied Kalman filtering, I saw many advanced signal processing submissions here at the MATLAB Central File exchange, but I didn t see a heavily commented, basic Kalman filter present to allow someone new to Kalman filters to learn about creating them. So, a year later, I ve written a very simple, heavily commented discrete filter.
標(biāo)簽： submissions processing filtering advanced
上傳時(shí)間： 2015-12-23
上傳用戶：變形金剛
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