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Learning GNU Emacs,Emacs最全面的教程,此為第三版
標(biāo)簽： Emacs Learning GNU 教程
上傳時(shí)間： 2015-09-12
上傳用戶：cccole0605
In this paper, we describe the development of a mobile butterfly-watching learning (BWL) system to realize outdoor independent learning for mobile learners. The mobile butterfly-watching learning system was designed in a wireless mobile ad-hoc learning environment. This is first result to provide a cognitive tool with supporting the independent learning by applying PDA with wireless communication technology to extend learning outside of the classroom. Independent learning consists of self-selection, self-determination, self-modification, and self-checking.
標(biāo)簽： butterfly-watching development describe learning
上傳時(shí)間： 2014-11-26
上傳用戶：waizhang
Our approach to understanding mobile learning begins by describing a dialectical approach to the development and presentation of a task model using the sociocognitive engineering design method. This analysis synthesises relevant theoretical approaches. We then examine two field studies which feed into the development of the task model.
標(biāo)簽： approach understanding dialectical describing
上傳時(shí)間： 2014-11-28
上傳用戶：comua
基本遺傳學(xué)習(xí)分類系統(tǒng) A Simple Classifier System based on Genetic Learning developed from the Pascal SCS code presented by David E.Goldberg
標(biāo)簽： Classifier developed Learning Genetic
上傳時(shí)間： 2014-08-07
上傳用戶：txfyddz
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that one of man’s greatest dreams seemed to be realizable—artificial intelligence. Bearing in mind that in the early days the most powerful computers had much less computational power than a cell phone today, it comes as no surprise that much theoretical research on the potential of machines’ capabilities to learn took place at this time. This becomes a computational problem as soon as the dataset gets larger than a few hundred examples.
標(biāo)簽： Introduction Classifiers Algorithms introduces
上傳時(shí)間： 2015-10-20
上傳用戶：aeiouetla
介紹隨機(jī)森林(Random Forest)最早的,最經(jīng)典文獻(xiàn)!LEO BREIMAN.Random Forests.Machine Learning, 45, 5–32, 2001
標(biāo)簽： Random Learning BREIMAN Forests
上傳時(shí)間： 2015-10-22
上傳用戶：stvnash
Learning Matlab for student,English version，專業(yè)權(quán)威。
標(biāo)簽： Learning English student version
上傳時(shí)間： 2013-12-17
上傳用戶：yzhl1988
Learning.SQL 是一本基本數(shù)據(jù)庫(kù)操作指南，他融合了數(shù)據(jù)庫(kù)的創(chuàng)建與查詢以及維護(hù)
標(biāo)簽： Learning SQL 數(shù)據(jù)庫(kù)操作
上傳時(shí)間： 2013-12-27
上傳用戶：kr770906
O Reilly publishing company,<<Learning the Unix OS>>,chm,English.
標(biāo)簽： publishing Learning English company
上傳時(shí)間： 2015-11-04
上傳用戶：talenthn
< Learning Perl>> published by O Reilly & Associates, the complete reference book on the language. English.
標(biāo)簽： Associates published the reference
上傳時(shí)間： 2015-11-04
上傳用戶：youth25
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