C++ GUI Programming with Qt 4 By Jasmin Blanchette, Mark Summerfield Publisher: Prentice Hall Pub Date: June 21, 2006 Print ISBN-10: 0-13-187249-4 Print ISBN-13: 978-0-13-187249-3 Pages: 560
標(biāo)簽： Programming Summerfield Blanchette Publisher
上傳時(shí)間： 2015-10-03
上傳用戶：fxf126@126.com
thinkinjava2English Thinking in Java, 2nd Edition, Release 11 To be published by Prentice-Hall mid-June, 2000 Bruce Eckel, President, MindView, Inc. Planet PDF brings you the Portable Document Format (PDF) version of Thinking in Java (2nd Edition). Planet PDF is the premier PDF-related site on the web. There is news, software, white papers, interviews, product reviews, Web links, code samples, a forum, and regular articles by many of the most prominent and respected PDF experts in the world. Visit our sites for more detail: http://www.planetpdf.com/ http://www.codecuts.com/ http://www.pdfforum.com/ http://www.pdfstore.com/
標(biāo)簽： thinkinjava2English Prentice-Hall published Thinking
上傳時(shí)間： 2014-01-15
上傳用戶：ANRAN
unix環(huán)境高級編程英文版，很經(jīng)典的一本書 Advanced Programming in the UNIX® Environment: Second Edition By W. Richard Stevens, Stephen A. Rago Publisher: Addison Wesley Professional Pub Date: June 17, 2005 ISBN: 0201433079 Pages: 960
標(biāo)簽： unix 環(huán)境 高級編程 英文
上傳時(shí)間： 2013-12-22
上傳用戶：qiao8960
On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： demonstrates sequential Selection Bayesian
上傳時(shí)間： 2016-04-07
上傳用戶：lindor
This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
標(biāo)簽： sequential reversible algorithm nstrates
上傳時(shí)間： 2014-01-18
上傳用戶：康郎
Proceedings of Practice of Interesting Algorithms 2007 The editor assumes no responsibility for the accuracy, completeness or usefulness of the information disclosed in this volume. Unauthorized use might infringe on privately owned patents of publication right. Please contact the individual authors for permission to reprint or otherwise use information from their papers. First edition 2007 Publication Planned by Prof. Wenxin Li Edited by Yili Zhao All rights reserved by Artificial Intelligence Laboratory, Peking University June 26, 2007
標(biāo)簽： responsibility Proceedings Interesting Algorithms
上傳時(shí)間： 2016-06-28
上傳用戶：wyc199288
function [U,V,num_it]=fcm(U0,X) ％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. ％ Hathaway on June 21, 1994.) The fuzzification constant ％ m = 2, and the stopping criterion for successive partitions is epsilon =??????. ％*******Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug******** ％ Purpose:The function fcm attempts to find a useful clustering of the ％ objects represented by the object data in X using the initial partition in U0.
標(biāo)簽： fcm function Version Routine
上傳時(shí)間： 2014-11-30
上傳用戶：二驅(qū)蚊器
Sams Teach Yourself Microsoft® SQL Server™ 2005 Express in 24 Hours By Alison Balter ............................................... Publisher: Sams Pub Date: June 16, 2006 Print ISBN-10: 0-672-32741-4 Print ISBN-13: 978-0-672-32741-4 Pages: 456
標(biāo)簽： Microsoft Yourself Express Alison
上傳時(shí)間： 2014-11-30
上傳用戶：一諾88
The 9th International Conference on Large-Scale Scientific Computations (LSSC 2013) was held in Sozopol, Bulgaria, during June 3–7, 2013. The conference was organized and sponsored by the Institute of Information and Communication Technologies at the Bulgarian Academy of Sciences.
標(biāo)簽： Large-Scale Scientific Computing
上傳時(shí)間： 2020-06-10
上傳用戶：shancjb
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