cshell learning book for entry level
標(biāo)簽： learning cshell entry level
上傳時(shí)間： 2014-01-07
上傳用戶：windwolf2000
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
The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussian process regression. - The code is for Matlab Version 1.0, November 2005
標(biāo)簽： approximation large-scale Committee Bayesian
上傳時(shí)間： 2015-09-14
上傳用戶：caiiicc
簡(jiǎn)單ATM（Automatic Teller Machine）系統(tǒng)的基本功能包括登錄、注銷、查詢、存款、取款以及修改密碼。 模擬的ATM終端在用戶登錄時(shí)，將其賬號(hào)和密碼通過網(wǎng)絡(luò)傳送到ATM服務(wù)器，ATM服務(wù)器根據(jù)數(shù)據(jù)庫(kù)中的信息查詢?cè)撡~號(hào)和密碼是否正確，并將結(jié)果返回給ATM終端。如果賬號(hào)和密碼正確，ATM終端進(jìn)入下一操作界面；否則提示出錯(cuò)。注銷操作用于通知ATM服務(wù)器本次交易結(jié)束，查詢、存款、取款以及修改密碼操作都是先將命令發(fā)送給ATM服務(wù)器，再由ATM服務(wù)器在數(shù)據(jù)庫(kù)上執(zhí)行相應(yīng)操作，并將操作結(jié)果返回給ATM終端。
標(biāo)簽： ATM Automatic Machine Teller
上傳時(shí)間： 2014-08-14
上傳用戶：lps11188
基于核的學(xué)習(xí)方法SVM(Support Vector Machine)有很好的分類識(shí)別性能，這是在SVM的基礎(chǔ)上改進(jìn)的一個(gè)更好的SKM(Support Kernel Machine)Package.
標(biāo)簽： Machine Support Vector SVM
上傳時(shí)間： 2014-01-15
上傳用戶：13517191407
Machine Vision Toolbox 機(jī)器視覺工具箱，包含很多種攝像機(jī)的標(biāo)定程序
標(biāo)簽： Machine Toolbox Vision 機(jī)器視覺
上傳時(shí)間： 2014-01-17
上傳用戶：wangzhen1990
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
machine vision 工具箱，一直都在用，做機(jī)器視覺參考
上傳時(shí)間： 2015-09-29
上傳用戶：han_zh
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
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