Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.
標簽： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上傳時間： 2016-01-23
上傳用戶：569342831
This the third edition of the Writing Device Drivers articles. The first article helped to simply get you acquainted with device drivers and a simple framework for developing a device driver for NT. The second tutorial attempted to show to use IOCTLs and display what the memory layout of Windows NT is. In this edition, we will go into the idea of contexts and pools. The driver we write today will also be a little more interesting as it will allow two user mode applications to communicate with each other in a simple manner. We will call this the “poor man’s pipes” implementation.
標簽： the articles Drivers edition
上傳時間： 2014-01-16
上傳用戶：ommshaggar
Visual Basic Shell Programming ventures where none have gone before by showing how to develop shell extensions that more closely integrate an application with the Windows shell, while at the same time providing an advanced tutorial-style treatment of COM programming with Visual Basic. Each major type of shell extension gets attention, including customized context menu handlers, per instance icons, and customized property sheets.
標簽： Programming ventures develop showing
上傳時間： 2016-02-01
上傳用戶：tb_6877751
這是linux下的進化計算的源代碼。 === === === === === === === === === === === ===== check latest news at http://eodev.sourceforge.net/ ======================================================================= Welcome to EO, the Evolving Objects library. The latest news about EO can be found on the sourceforge repository at http://eodev.sourceforge.net/ In case of any problem, please e-mail us at eodev-help@lists.sourceforge.net, eodev@egroups.com To get started, take a look at the tutorial, starting with ./tutorial/html/eoTutorial.html The easiest way to start programming a new genome with all EO evolution engines handy is to create a new standalone EO project from the tutorial/Templates/ directory. Read Lesson 5 of the tutorial for an introduction )
上傳時間： 2013-12-23
上傳用戶：jkhjkh1982
侯捷和孟巖合譯的《C++標準程序庫》，PDF掃描版，簡體中文，全本829頁（看文件大小可知）。 The C++ Standard Library - A Tutorial and Reference
上傳時間： 2016-03-21
上傳用戶：jjj0202
Eckel’s book is the only one to so clearly explain how to rethink program construction for object orientation. That the book is also an excellent tutorial on the ins and outs of C++ is an added bonus
標簽： construction clearly explain rethink
上傳時間： 2013-12-13
上傳用戶：caixiaoxu26
This document is designed to aid anyone considering whether to write an emulator for an arcade game machine. It will attempt to answer frequently asked questions, give a step by step tutorial, and provide the resources necessary for a capable programmer to begin work on an emulator for an arcade game.
標簽： considering document designed emulator
上傳時間： 2014-01-05
上傳用戶：caixiaoxu26
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
標簽： Rao-Blackwellised conditional filtering particle
上傳時間： 2013-12-17
上傳用戶：zhaiyanzhong
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ABC network should complement the UAI2000 paper by Arnaud Doucet, Nando de Freitas, Kevin Murphy and Stuart Russell. After downloading the file, type "tar -xf demorbpfdbn.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "dbnrbpf" for the demo.
標簽： Rao-Blackwellised conditional filtering particle
上傳時間： 2013-12-14
上傳用戶：小儒尼尼奧
This book is for the experience and not the same level of the design process so prepared by the staff, of course, the reader should at least be able to prepare a simple C language program. On the C language are learning readers, this book is any C language tutorial excellent supporting materials, to be able to answer all relevant questions.
標簽： the experience prepared process
上傳時間： 2013-12-20
上傳用戶：jcljkh
