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: How C Programming Works C Programming C++ Language Tutorial
標(biāo)簽： Introduction Programming Reference tutorials
上傳時(shí)間： 2014-07-26
上傳用戶：ljmwh2000
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 programming scenarios. Beyond a reference, Advanced ActionScript with Design Patterns is a practical guide complete with sample mini-applications illustrating each design pattern. The accompanying CD includes a trial version of Flash 8 along
標(biāo)簽： ActionScript-based architectures sophisticated applications
上傳時(shí)間： 2016-08-17
上傳用戶：z754970244
是一本介紹java基礎(chǔ)應(yīng)用的好書 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 projects, and self-test questions to reinforce the learning experience. The projects offered range from the easy to the extremely challenging. It covers all the topics you’d expect to find in an introductory Java programming textbook and then some. As a trade book it goes purposefully deeper into topics cut short or avoided completely in most introductory textbooks. Its coverage of advanced GUI programming techniques, network programming and object-oriented theory will enable you to take your skills to a higher level.
標(biāo)簽： undergraduate information computer Artists
上傳時(shí)間： 2016-09-28
上傳用戶：qiaoyue
是否懂得C語言并不是學(xué)習(xí)C++的前提。不僅僅是因?yàn)镃++本身兼容C語言，更重要的是C++所倡導(dǎo)的程序設(shè)計(jì)觀念是和C語言完全不同的。C語言在某種意義上是對(duì)CPU模型的抽象。盡管C++完全保留了C語言的機(jī)器模型，但是C++更加注重對(duì)現(xiàn)實(shí)世界進(jìn)行抽象。為此，C++創(chuàng)始人Bjarne Stroustrup專門寫過一篇著名的文章：《Learning Standard C++ as a New Language》（把標(biāo)準(zhǔn)C++作為一種全新的語言來學(xué)習(xí)）
上傳時(shí)間： 2013-12-25
上傳用戶：fandeshun
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 important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
標(biāo)簽： experimental generation advances enormous
上傳時(shí)間： 2016-10-23
上傳用戶：wkchong
一個(gè)神經(jīng)網(wǎng)絡(luò)原型代碼，針對(duì)的例子為《Perceptron Learning》 (Russell & Norvig， 第742頁)
標(biāo)簽： 神經(jīng)網(wǎng)絡(luò) 原型 代碼
上傳時(shí)間： 2016-11-06
上傳用戶：康郎
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
標(biāo)簽： package multi-label includes networks
上傳時(shí)間： 2013-12-05
上傳用戶：xsnjzljj
Many of the pattern fi nding algorithms such as decision tree, classifi 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 this tradition. The introduction of this technique boosted data mining research and its impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting with Apriori-like algorithm is the fi rst thing that data miners try to do.
標(biāo)簽： 64257 algorithms decision pattern
上傳時(shí)間： 2014-01-12
上傳用戶：wangdean1101
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 neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
標(biāo)簽： multimedia Semantic analysis research
上傳時(shí)間： 2016-11-24
上傳用戶：蟲蟲蟲蟲蟲蟲
另一本介紹貝葉斯網(wǎng)絡(luò)的經(jīng)典教材，可以與Learning Bayesian Networks配合使用，相得益彰。
標(biāo)簽： 貝葉斯 網(wǎng)絡(luò) 教材
上傳時(shí)間： 2014-01-05
上傳用戶：電子世界
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