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a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.

Verilog and VHDL状态机设计，英文pdf格式 State machine design techniques for Verilog and VHDL Abstract : Designing a synchronous finite state Another way of organizing a state machine (FSM) is a common task for a digital logic only one logic block as shown in engineer. This paper will discuss a var ...

来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。 This Toolbox provides a number of functions that are useful in computer vision, machine vision and related areas. It is a somewhat eclectic collection reflecting the author s personal interest in areas of photometry, photogrammetry, colorimetry. It ...

基于libsvm，开发的支持向量机图形界面(初级水平)应用程序，并提供了关于C和sigma的新的参数选择方法，使得SVM的使用更加简单直观.参考文章 Fast and Efficient Strategies for Model Selection of Gaussian Support Vector Machine 可google之。

A small tool to change the default source control provider client, so you can use SourceSafe, SourceOffsite, Workspaces etc, on the same machine

acm HDOJ 1051WoodenSticks Description: There is a pile of n wooden sticks. The length and weight of each stick are known in advance. The sticks are to be processed by a woodworking machine in one by one fashion. It needs some time, called setup time, for the machine to prepare processing a stick. Th ...

Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that ...

This guide provides an in-depth look at the construction and underlying theory of a fully functional virtual machine and an entire suite of related development tools.

ApMl provides users with the ability to crawl the web and download pages to their computer in a directory structure suitable for a Machine Learning system to both train itself and classify new documents. Classification Algorithms include Naive Bayes, KNN

SIC_XE程式Pass 1:先對每個Source statement做定location，Pass 2：對每個細項做不同的處理，算出object code，最後轉成machine code輸出。