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C/C++ Reference There are no "Introduction to Programming" tutorials here. This site is meant to be used by more-or-less experienced C++ programmers, who have a good idea of what they want to do and simply need to look up the syntax. If you re interested in learning C/C++, try one of these sites: ...

Today s ActionScript-based applications require increasingly sophisticated architectures and code. This book aids intermediate and advanced ActionScript developers in learning how to plan and build applications more effectively. You ll learn how to apply design patterns as solutions to common progra ...

是一本介绍java基础应用的好书 Java For Artists targets both the undergraduate computer science or information technology student and the practicing programmer. It is both an introductory-level textbook and trade book. As a textbook it employs learning objectives, skill-building exercises, suggested ...

是否懂得C语言并不是学习C++的前提。不仅仅是因为C++本身兼容C语言，更重要的是C++所倡导的程序设计观念是和C语言完全不同的。C语言在某种意义上是对CPU模型的抽象。尽管C++完全保留了C语言的机器模型，但是C++更加注重对现实世界进行抽象。为此，C++创始人Bjarne Stroustrup专门写过一篇著名的文章：《Learning Standard C ...

Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these i ...

一个神经网络原型代码，针对的例子为《Perceptron Learning》 (Russell & Norvig， 第742页)

BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code of the algorithm BP-MLL, which is designed to deal with multi-label learning. It is in particular useful when a real-world object is associated with multiple labels simultaneously

Many of the pattern &#64257 nding algorithms such as decision tree, classi&#64257 cation rules and clustering techniques that are frequently used in data mining have been developed in machine learning research community. Frequent pattern and association rule mining is one of the few excep- tions to ...

Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neur ...

另一本介绍贝叶斯网络的经典教材，可以与Learning Bayesian Networks配合使用，相得益彰。