搜索：Technical - 虫虫下载站

人工智能/神经网络  The data files included are .MAT or *.dat (ASCII)files. The m-files and the data may be distributed

The data files included are .MAT or *.dat (ASCII)files. The m-files and the data may be distributed, provided that the source is acknowledged in any publication and the data are not sold. Since this software is being distributed free of charge, the authors are not offering any technical support. Stu ...

https://www.eeworm.com/dl/650/239550.html

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Java书籍  Written by the inventors of the technology, The Java&#8482 Language Specification, Third Edition, is

Written by the inventors of the technology, The Java&#8482 Language Specification, Third Edition, is the definitive technical reference for the Java&#8482 programming language. If you want to know the precise meaning of the language s constructs, this is the source for you. The book provides comple ...

https://www.eeworm.com/dl/656/251420.html

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其他书籍  During this course you will learn how to use Matlab, to design, and to perform mathematical computat

During this course you will learn how to use Matlab, to design, and to perform mathematical computations. You will also get acquainted with basic programming. If you learn to use this program well, you will find it very useful in future, since many technical or mathematical problems can be solved us ...

https://www.eeworm.com/dl/542/263080.html

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Java书籍  THIS book covers the Java&#8482 Native Interface (JNI). It will be useful to you if you are interes

THIS book covers the Java&#8482 Native Interface (JNI). It will be useful to you if you are interested in any of the following: &#8226 integrating a Java application with legacy code written in languages such as C or C++ &#8226 incorporating a Java virtual machine implementation into an existing app ...

https://www.eeworm.com/dl/656/264526.html

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Java书籍  DESIGN PATTERNS JAVA COMPANION Design patterns began to be recognized more formally in the early 1

DESIGN PATTERNS JAVA COMPANION Design patterns began to be recognized more formally in the early 1990s by Helm (1990) and Erich Gamma (1992), who described patterns incorporated in the GUI application framework, ET++. The culmination of these discussions and a number of technical meetings was the pu ...

https://www.eeworm.com/dl/656/264534.html

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技术管理  This paper provides incumbent wireless Internet service providers (WISPs), new WISPs and demanding

This paper provides incumbent wireless Internet service providers (WISPs), new WISPs and demanding new markets (such as government and education) with a technical analysis of alternatives for implementing last-mile wireless broadband services.

https://www.eeworm.com/dl/642/274089.html

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人工智能/神经网络  On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carl

On-Line MCMC Bayesian Model Selection This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and deta ...

https://www.eeworm.com/dl/650/280633.html

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金融证券系统  EclipseTrader is a stock exchange analysis system, featuring shares pricing watch, intraday and hi

EclipseTrader is a stock exchange analysis system, featuring shares pricing watch, intraday and history charts with technical analysis indicators, level II/market depth view, news watching, automated trading systems, integrated trading.

https://www.eeworm.com/dl/638/283110.html

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数学计算  This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps t

This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, N ...

https://www.eeworm.com/dl/641/284866.html

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数学计算  This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hier

This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that n ...

https://www.eeworm.com/dl/641/284868.html

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