extreme learning machine 例子 run segment_mean
標簽： segment_mean learning extreme machine
上傳時間： 2013-12-05
上傳用戶：笨小孩
extreme learning machine 例子 run satimage_mean
標簽： satimage_mean learning extreme machine
上傳時間： 2013-12-21
上傳用戶：kelimu
extreme learning machine例子 run sinc_mean
標簽： sinc_mean learning extreme machine
上傳時間： 2013-12-04
上傳用戶：569342831
Pattern Recognition and Machine Learning Bishop-.pdf 非常好的一本書, pattern recognition 必讀
標簽： Recognition recognition Learning Pattern
上傳時間： 2014-05-31
上傳用戶：qoovoop
With the successful implementation of XML Schema, developers are learning how to increase productivity, improve software reliability, minimize development time, and decrease time to market. This in-depth reference is an all-in-one resource designed to help developers leverage the power and potential of XML schemas by offering a complete roadmap to their creation, design, and use.
標簽： implementation successful developers productivi
上傳時間： 2013-12-08
上傳用戶：gxrui1991
normkit is a set of tools supporting ontology learning. from xml,xsd to rdfs.
標簽： supporting learning ontology normkit
上傳時間： 2016-03-19
上傳用戶：曹云鵬
AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
標簽： efficient AdaBoost learning learners
上傳時間： 2013-12-06
上傳用戶：小寶愛考拉
Threads are essential to Java programming, but learning to use them effectively is a nontrivial task. This new edition of the classic Java Threads shows you how to take full advantage of Java s threading facilities and brings you up-to-date with the watershed changes in Java 2 Standard Edition version 5.0 (J2SE 5.0). It provides a thorough, step-by-step approach to threads programming.
標簽： effectively programming nontrivial essential
上傳時間： 2016-03-20
上傳用戶：hn891122
dsp basic learning information
標簽： information learning basic dsp
上傳時間： 2013-12-18
上傳用戶：金宜
aspectj in action is must to learning aspect reference book
標簽： reference learning aspectj action
上傳時間： 2014-01-27
上傳用戶：GavinNeko
