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++ as a New Language》（把标准C++作为一种全新的语言来学习）
上传时间： 2013-12-25
上传用户：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.
标签： experimental generation advances enormous
上传时间： 2016-10-23
上传用户：wkchong
LCD_12864 driver write with c language in ads1.2 environment ,the cpu is lpc2132 . can diaplay chinese and number.
标签： environment language diaplay driver
上传时间： 2014-01-10
上传用户：hopy
一个神经网络原型代码，针对的例子为《Perceptron Learning》 (Russell & Norvig， 第742页)
上传时间： 2016-11-06
上传用户：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
标签： package multi-label includes networks
上传时间： 2013-12-05
上传用户：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.
标签： 64257 algorithms decision pattern
上传时间： 2014-01-12
上传用户：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.
标签： multimedia Semantic analysis research
上传时间： 2016-11-24
上传用户：虫虫虫虫虫虫
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。
上传时间： 2014-01-05
上传用户：电子世界
％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.
标签： boundaries the following determine
上传时间： 2016-11-26
上传用户：guanliya
BP neural network for time series analysis predicted that by entering the corresponding time-series data to predict the future, suitable for beginners on the BP neural network learning
标签： corresponding time-series predicted analysis
上传时间： 2016-11-27
上传用户：cjl42111
