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其他书籍  Recent advances in experimental methods have resulted in the generation of enormous volumes of data

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 ...

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人工智能/神经网络  一个神经网络原型代码

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

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人工智能/神经网络  BPMLL is a package for training multi-label BP neural networks. The package includes the MATLAB code

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

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微处理器开发  Many of the pattern &#64257 nding algorithms such as decision tree, classi&#64257 cation rules and c

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 ...

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单片机开发  Semantic analysis of multimedia content is an on going research area that has gained a lot of atten

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 ...

https://www.eeworm.com/dl/648/370773.html

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其他书籍  另一本介绍贝叶斯网络的经典教材

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。

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matlab例程  ％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptro

％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.

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书籍源码  BP neural network for time series analysis predicted that by entering the corresponding time-series

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

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matlab例程  The library is a C++/Python implementation of the variational building block framework introduced in

The library is a C++/Python implementation of the variational building block framework introduced in our papers. The framework allows easy learning of a wide variety of models using variational Bayesian learning

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人工智能/神经网络  * Lightweight backpropagation neural network. * This a lightweight library implementating a neura

* Lightweight backpropagation neural network. * This a lightweight library implementating a neural network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural network and do not want to use * needlessly complex neural network librar ...

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