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
This manual describes how to run the Matlab® Artificial Immune Systems tutorial presentation developed by Leandro de Castro and Fernando Von Zuben. The program files can be downloaded from the following FTP address: ftp://ftp.dca.fee.unicamp.br/pub/docs/vonzuben/lnunes/demo.zip
The tour is self-guided and can be performed in any order.
To run the presentation, first uncompress the zipped archive and store it in an appropriate directory. Run the Matlab® , enter the selected directory, and type “tutorial” in the prompt.
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.
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.
Hibernate: A Developer s Notebook shows you how to use Hibernate to automate persistence: you write natural Java objects and some simple configuration files, and Hibernate automates all the interaction between your objects and the database. You don t even need to know the database is there, and you can change from one database to another simply by changing a few statements in a configuration file. If you ve needed to add a database backend to your application, don t put it off. It s much more fun than it used to be, and Hibernate: A Developer s Notebook shows you why.
This book explains how to write, install, and debug device drivers for Windows 2000. It is intended to be a companion to the Microsoft DDK documentation and software.
Windows 2000 represents a major improvement to previous versions of Windows NT. Device drivers for Windows 2000 may be designed for the new Windows Driver Model (WDM) architecture. If so, the driver will be source compatible with Windows 98. This book covers the new WDM specification.
This book will also prove useful to those studying the internals of Windows 2000, particularly the I/O subsystem and related components.
