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Linux/Unix编程 gcclib This gcc 1.40 suits for Linux kernel 0.11 - 0.95 Installtion hints -----------------
gcclib
This gcc 1.40 suits for Linux kernel 0.11 - 0.95
Installtion hints
-----------------
This suit contains include.taz, local.taz and this README file.
You must download the bootimage and rootimage and install them first.
The include.taz contains all the include files for using with gcc 1.40 ...
游戏 A few years ago I became interested in first person shooter games and in particular how the world le
A few years ago I became interested in first person shooter games and in particular how the world levels are created and rendered in real time. At the same time I found myself in between jobs and so I embarked on an effort to learn about 3D rendering with the goal of creating my own 3D rendering en ...
单片机编程 MPLAB C30用户指南(英文)
MPLAB C30用户指南(英文)
HIGHLIGHTSThe information covered in this chapter is as follows:• About this Guide• Recommended Reading• Troubleshooting• The Microchip Web Site• Development Systems Customer Notification Service• Customer Support
Document LayoutThe documen ...
其他书籍 by Randal L. Schwartz and Tom Phoenix ISBN 0-596-00132-0 Third Edition, published July 2001. (See
by Randal L. Schwartz and Tom Phoenix
ISBN 0-596-00132-0
Third Edition, published July 2001.
(See the catalog page for this book.)
Learning Perl, 3rd Edition.
Table of Contents
Copyright Page
Preface
Chapter 1: Introduction
Chapter 2: Scalar Data
Chapter 3: Lists and Arrays
Chapter 4: Subroutin ...
人工智能/神经网络 On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl
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 deta ...
matlab例程 In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve r
In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial College). The data and simulations are described in: ...
数学计算 This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t
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, N ...
数学计算 This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...
matlab例程 JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the p
JLAB is a set of Matlab functions I have written or co-written over the past fifteen years for the purpose of analyzing data. It consists of four hundred m-files spanning thirty thousand lines of code. JLAB includes functions ranging in complexity from one-line aliases to high-level algorithms for c ...
文件格式 1. Download the version you want: * Version 1.3.4 (30 Aug 2007) -- this is the latest v
1. Download the version you want:
* Version 1.3.4 (30 Aug 2007) -- this is the latest version for UNIX/Linux and Windows
* Previous versions
2. Unzip the file, which will create a directory called klt and place all the files there
3. Compile and run the code
* ...