<li id="cwaum"></li> Thinking in C++ 語(yǔ)言: English 格式: word
標(biāo)簽： Thinking English word in
上傳時(shí)間： 2015-04-17
上傳用戶：yuzsu
項(xiàng)目描述: g-page is a client/server application designed to send text messages to pagers and PCS phones with short messaging capabilites. g-page 是一款客戶端/服務(wù)器應(yīng)用程序，用來給呼機(jī)或PCS電話發(fā)送短消息。
標(biāo)簽： application designed messages g-page
上傳時(shí)間： 2013-12-13
上傳用戶：希醬大魔王
some easy projects in java, can teach you basic project design method in java.
標(biāo)簽： java projects project design
上傳時(shí)間： 2013-12-15
上傳用戶：yangbo69
Thinking in java 中文chm版
標(biāo)簽： Thinking java chm in
上傳時(shí)間： 2015-04-18
上傳用戶：源弋弋
ICA can be used in brain activation studies to reduce the number of dimension and filter out independent and interesting activations. This demonstration shows two studies. One provided by Hvidovre Universitets Hospital, Denmark, that consists of fMRI scannings of humans. Another provided by the EU sponsored MAPAWAMO project from fMRI scannings of monkeys. In the demo comparison between icaMS, icaML, icaMF, icaMF (positive sources) and PCA can be made. More detailes can found in [2].
標(biāo)簽： activation dimension studies indepen
上傳時(shí)間： 2015-04-19
上傳用戶：zukfu
ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
標(biāo)簽： ICA extension framework classify
上傳時(shí)間： 2013-12-22
上傳用戶：himbly
More AI...(GEP) Gene Expression Programming in C# and .NET 由Michael Gold用C#開發(fā)的GEP程序.
標(biāo)簽： Programming Expression GEP Michael
上傳時(shí)間： 2013-12-28
上傳用戶：zhyiroy
genetic programming in C++ Adam Fraser University Of Salford, Salford, M5 4WT, United Kingdom
標(biāo)簽： Salford programming University genetic
上傳時(shí)間： 2013-12-02
上傳用戶：ardager
Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
標(biāo)簽： OPTIMIZATION ALGORITHMS LEARNING Programs
上傳時(shí)間： 2015-04-19
上傳用戶：
這是thinking in java第二版的書上原碼.
上傳時(shí)間： 2013-12-25
上傳用戶：trepb001
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