data插件一個(gè)js 直接在頁面文件中調(diào)用即可使用
上傳時(shí)間： 2016-10-12
上傳用戶：時(shí)代電子小智
data sheet of LMD18200T
標(biāo)簽： 18200T 18200 sheet data
上傳時(shí)間： 2016-10-13
上傳用戶：zjf3110
3d medical brain data
標(biāo)簽： medical brain data 3d
上傳時(shí)間： 2014-12-08
上傳用戶：shus521
data preprocessing for text classification.
標(biāo)簽： classification preprocessing data text
上傳時(shí)間： 2016-10-16
上傳用戶：zhangliming420
CRC碼產(chǎn)生器與校驗(yàn)器程序 Features ： Executes in one clock cycle per data word Any polynomial from 4 to 32 bits Any data width from 1 to 256 bits Any initialization value Synchronous or asynchronous reset
標(biāo)簽： polynomial Features Executes clock
上傳時(shí)間： 2013-12-18
上傳用戶：Ants
Flex JSP Exchanging data
標(biāo)簽： Exchanging Flex data JSP
上傳時(shí)間： 2016-10-21
上傳用戶：hzy5825468
Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
標(biāo)簽： experimental generation advances enormous
上傳時(shí)間： 2016-10-23
上傳用戶：wkchong
data struct algorithm and application in c++ 一書的課后答案源碼
標(biāo)簽： application algorithm struct data
上傳時(shí)間： 2016-10-24
上傳用戶：shus521
Although MATLAB® is a complete, self-contained environment for programming and manipulating data, it is often useful to interact with data and programs external to the MATLAB environment. MATLAB provides an interface to external programs written in the C and Fortran languages. This interface is part of the MATLAB Application Program Interface, or API.
標(biāo)簽： self-contained manipulating environment programming
上傳時(shí)間： 2016-10-25
上傳用戶：stella2015
本書是Ford和Topp兩位教授于199b年出版的名著Data Structures with C一的第2版，在全球范圍內(nèi)已經(jīng)有數(shù)以萬計(jì)·的學(xué)生從中受益。 作音將C十+語言作為算法描述語言，應(yīng)用包含規(guī)范化的數(shù)據(jù)結(jié)構(gòu)的標(biāo)準(zhǔn)模板庫，集講述了數(shù)組、向量、表、關(guān)聯(lián)樹容器，以及集合、映射、堆、哈希表和圖等數(shù)據(jù)結(jié)構(gòu)及其算法，重點(diǎn)討論了如何高效地存儲(chǔ)大型數(shù)據(jù)集合，涵蓋了數(shù)據(jù)結(jié)構(gòu)初級(jí)和高級(jí)教程的最新內(nèi)容。書中各章章前提出學(xué)習(xí)目標(biāo)，章后附有豐富的練習(xí)題、答案以及書面練習(xí)和上機(jī)編程練習(xí)，指導(dǎo)讀者迅速、全面地掌握核心知識(shí)點(diǎn)和編程技巧,本書可作為計(jì)算機(jī)及相關(guān)專業(yè)數(shù)據(jù)結(jié)構(gòu)課程的核心教材，對(duì)于研發(fā)人員，也是一本數(shù)據(jù)結(jié)構(gòu)與而向?qū)ο蠹夹g(shù)完整結(jié)合的全新技術(shù)參考用書
標(biāo)簽： Structures Ford 199b Data
上傳時(shí)間： 2013-12-24
上傳用戶：2404
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