The third edition of learning GNU Emacs describes Emacs 21.3 from the ground up, including new user interface features such as an icon-based toolbar and an interactive interface to Emacs customization. A new chapter details how to install and run Emacs on Mac OS X, Windows, and Linux, including tips for using Emacs effectively on those platforms.
標簽： Emacs describes including learning
上傳時間： 2015-08-29
上傳用戶：caixiaoxu26
LVQ算法( learning Vector Quantization，學習矢量量化網絡)是一種基于模型（神經網絡）的方法，本實驗要實現的是對LVQ改進的聚類方法——MLVQ（閆德勤等人提出）。該方法克服了LVQ算法對初值敏感的問題和廣義學習矢量量化(GLVQ)網絡算法性能不穩定的缺點。(附文章)
標簽： Quantization learning Vector LVQ
上傳時間： 2015-08-31
上傳用戶：youke111
2005 Center for Biological & Computational learning at MIT and MIT All rights reserved. Permission to copy and modify this data, software, and its documentation only for internal research use in your organization is hereby granted, provided that this notice is retained thereon and on all copies. This data and software should not be distributed to anyone outside of your organization without explicit written authorization by the author(s) and MIT.
標簽： Computational Biological MIT Permissio
上傳時間： 2014-01-27
上傳用戶：gaome
《learning Perl》英文第三版，perl語言入門的經典之作，非常適合初學者自學，內容詳細，解釋清晰。
上傳時間： 2014-01-10
上傳用戶：z1191176801
《learning Perl Objects References And Modules》英文版，詳細介紹了perl語言中的對象引用和模塊，是一本深入了解perl語言的好書。
標簽： References learning Objects Modules
上傳時間： 2013-12-11
上傳用戶：zxc23456789
cshell learning book for entry level
標簽： learning cshell entry level
上傳時間： 2014-01-07
上傳用戶：windwolf2000
learning GNU Emacs,Emacs最全面的教程,此為第三版
上傳時間： 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.
標簽： butterfly-watching development describe learning
上傳時間： 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.
標簽： approach understanding dialectical describing
上傳時間： 2014-11-28
上傳用戶：comua
基本遺傳學習分類系統 A Simple Classifier System based on Genetic learning developed from the Pascal SCS code presented by David E.Goldberg
標簽： Classifier developed learning Genetic
上傳時間： 2014-08-07
上傳用戶：txfyddz
