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kissme is a free (GPLed) Java Virtual Machine. It is being developed on GNU/Linux and can run console java applications. kissme is to be used with the GNU Classpath java class library. kissme also provides support for orthogonally persistent java
標(biāo)簽： developed Virtual Machine kissme
上傳時(shí)間： 2015-12-07
上傳用戶：qiao8960
Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994
標(biāo)簽： C. D. D.J. Classification
上傳時(shí)間： 2015-12-14
上傳用戶：日光微瀾
Machine Learning Weka 數(shù)據(jù)變換，給Arff文件加載權(quán)值，變換為XRFF文件。
標(biāo)簽： Learning Machine Weka 數(shù)據(jù)
上傳時(shí)間： 2015-12-16
上傳用戶：wxhwjf
Report Machine Sample
標(biāo)簽： Machine Report Sample
上傳時(shí)間： 2015-12-20
上傳用戶：ls530720646
Quantum Platform(QP) is a family of very lightweight, state machine-based frameworks for embedded systems. QP enables developing well-structured embedded applications as a set of concurrently executing hierarchical state machines (UML statecharts).
標(biāo)簽： machine-based lightweight frameworks Platform
上傳時(shí)間： 2015-12-22
上傳用戶：jichenxi0730
Creating the Auto Answering Machine Application
標(biāo)簽： Application Answering Creating Machine
上傳時(shí)間： 2013-12-06
上傳用戶：chenbhdt
PADI 網(wǎng)上學(xué)習(xí) Potential divers will have another way to begin independent study with the PADI Open Water Diver Course Online
標(biāo)簽： PADI independent Potential another
上傳時(shí)間： 2015-12-27
上傳用戶：zhichenglu
Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fast correlation-based filter algorithm designed for high-dimensional data and has been shown effective in removing both irrelevant features and redundant features
標(biāo)簽： preprocessing frequently selection technique
上傳時(shí)間： 2014-01-19
上傳用戶：lindor
SIMULATION OF ELECTRIC MACHINE AND DRIVE SYSTEMS USING matlab and simulink
標(biāo)簽： SIMULATION ELECTRIC simulink MACHINE
上傳時(shí)間： 2016-01-04
上傳用戶：hphh
Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
標(biāo)簽： method statistic learning Support
上傳時(shí)間： 2014-12-02
上傳用戶：zukfu
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