OReilly.Ajax.on.Rails.Dec.2006. ISBN-10: 0-596-52744-6. Learn to build dynamic, interactive web applications using the two most important approaches to web development today: Ajax and the phenomenally efficient Ruby on Rails platform. This book teaches intermediate to advanced web developers how to use both Ajax and Rails to quickly build high-performance, scalable applications without being overwhelmed with thousands of lines of JavaScript code. More than just recipes, you also get a thorough, low-level understanding of what s happening under the hood.
标签： interactive OReilly dynamic 52744
上传时间： 2015-10-07
上传用户：独孤求源
基于libsvm，开发的支持向量机图形界面(初级水平)应用程序，并提供了关于C和sigma的新的参数选择方法，使得SVM的使用更加简单直观.参考文章 Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine 可google之。
标签： libsvm
上传时间： 2015-10-16
上传用户：cuibaigao
Notepad++ is a generic source code editor (it tries to be anyway) and Notepad replacement written in C++ with the win32 API. The aim of Notepad++ is to offer a slim and efficient binary with a totally customizable GUI
标签： Notepad replacement generic written
上传时间： 2013-12-18
上传用户：天涯
C++, although a marvelous language, isn t perfect. Matthew Wilson has been working with it for over a decade, and during that time he has found inherent limitations that require skillful workarounds. In this book, he doesn t just tell you what s wrong with C++, but offers practical techniques and tools for writing code that s more robust, flexible, efficient, and maintainable. He shows you how to tame C++ s complexity, cut through its vast array of paradigms, take back control over your code--and get far better results
标签： marvelous although language Matthew
上传时间： 2014-01-22
上传用户：妄想演绎师
Notepad++ is a generic source code editor (it tries to be anyway) and Notepad replacement written in C++ with the win32 API. The aim of Notepad++ is to offer a slim and efficient binary with a totally customizable GUI.
标签：
上传时间： 2015-12-28
上传用户：sjyy1001
This book shows how to design and implement C++ software that is more effective: more likely to behave correctly more robust in the face of exceptions more efficient more portable makes better use of language features adapts to change more gracefully works better in a mixed-language environment is easier to use correctly is harder to use incorrectly. In short, software that s just better.
标签： more effective implement software
上传时间： 2016-01-04
上传用户：huyiming139
java语言开发的P2P流媒体系统，“Stream-2-Stream implements multicast+, a next generation streaming protocol. Multicast+ is more efficient and requires less bandwidth than direct streaming (e.g. shoutcast/icecast). Stream-2-Stream (abbreviated "s2s" or "S2S") stations have no user limit stations can be set up without paying a fortune for bandwidth. Stream-2-Stream saves bandwidth by passing streams from one peer to another through multicast and unicast p2p, rather than everyone getting a stream from one central server (Shoutcast/Icecast). ”更多：http://s2s.sourceforge.net/about.php
上传时间： 2016-01-09
上传用户：ikemada
Microsoft.NET测试驱动开发 Test-Driven Development in Microsoft .NET by James W. Newkirk and Alexei A. Vorontsov ISBN:0735619484 Microsoft Press © 2004 Using a wealth of pragmatic examples in C# and other .NET development tools, the two authors of this text demonstrate how to use automated tests to drive lean, efficient coding and better design.
标签： Microsoft A. W. Development
上传时间： 2014-01-07
上传用户：ynzfm
Abstract—Mobile devices performing video coding and streaming over wireless and pervasive communication networks are limited in energy supply. To prolong the operational lifetime of these devices, an embedded video encoding system should be able to adjust its computational complexity and energy consumption as demanded by the situation and its environment.
标签： performing and communica streaming
上传时间： 2014-01-21
上传用户：pompey
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
标签： meta-learning classifiers combining Boosting
上传时间： 2016-01-30
上传用户：songnanhua
