mirror 驅(qū)動之 sys 部分，比DDK上的架構(gòu)多出了一點(diǎn)自己的東西。供參考。
上傳時間： 2013-12-11
上傳用戶：shus521
《Learning C++ as a new language》is a very good book.
標(biāo)簽： Learning language good book
上傳時間： 2013-12-23
上傳用戶：363186
This forced me to write about more interesting and comprehensive sorting methods, the result of which is this one. Through this writing I have tried to give in-depth coverage of the entire sort algorithm I hope Peter wouldn t mind reading it. This article assumes that you really don t know about the iterations, looping, and so forth hence, it explains these in detail first.
標(biāo)簽： comprehensive interesting methods sorting
上傳時間： 2016-01-10
上傳用戶：athjac
此文檔是AUTO CAD的dxf文件格式的配置文件，適合在linux上用C語言開發(fā).
上傳時間： 2016-01-13
上傳用戶：葉山豪
Stroustrup s Guide To Learning C
標(biāo)簽： Stroustrup Learning Guide To
上傳時間： 2016-01-17
上傳用戶：康郎
usbvideo.sys usbvideo.sys usbvideo.sys usbvideo.sys
上傳時間： 2016-01-18
上傳用戶：wyc199288
open bsd stand lib of sys
上傳時間： 2016-01-21
上傳用戶：上善若水
CNC Machine Router Table Design with Specs
標(biāo)簽： Machine Design Router Table
上傳時間： 2013-12-23
上傳用戶：klin3139
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.
標(biāo)簽： meta-learning classifiers combining Boosting
上傳時間： 2016-01-30
上傳用戶：songnanhua
Meshfree Methods 這是一本介紹無網(wǎng)格分析方法的書籍。無網(wǎng)格方法是有限元等傳統(tǒng)數(shù)值分析方法的重要補(bǔ)充和發(fā)展。
標(biāo)簽： Meshfree Methods 網(wǎng)格 分析方法
上傳時間： 2014-01-23
上傳用戶：ardager
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