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 details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： demonstrates sequential Selection Bayesian
上传时间： 2016-04-07
上传用户：lindor
D-S.Kim, Y.S.Lee, W.H.Kwon, and H.S.Park, "Maximum Allowable Delay Bounds in Networked Control Systems", Control Engineering Practice (Elsvier Science) (Simulation Example - Matlab Code), PP.1301-1313, Vol.11, Issue 11, December, 2003
标签： Allowable Networked Control Maximum
上传时间： 2016-04-10
上传用户：lifangyuan12
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, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： sequential reversible algorithm nstrates
上传时间： 2014-01-18
上传用户：康郎
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 need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar -xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this directory, load matlab5 and type "demo_MC" for the demo.
标签： algorithms problems Several trivial
上传时间： 2014-01-20
上传用户：royzhangsz
This white paper describes a collection of standards, conventions, and guidelines for writing solid Java code. They are based on sound, proven software engineering principles that lead to code that is easy to understand, to maintain, and to enhance.
标签： conventions collection guidelines describes
上传时间： 2014-12-08
上传用户：hakim
空间桁架的有限元分析源码，是国外《intrduction to finite elements on engineering》中的。
上传时间： 2013-12-09
上传用户：Zxcvbnm
Writing Robust Java Code The AmbySoft Inc. Coding Standards for Java v17.01d Scott W. Ambler Software Process Mentor This Version: January 15, 2000 Copyright 1998-1999 AmbySoft Inc.Purpose of this White Paper This white paper describes a collection of standards, conventio code. They are based on sound, proven software engineering p understand, to maintain, and to enhance. Furthermore, by foll productivity as a Java developer should increase remarkably ¨C write high-quality code right from the start you will have a much development process. Finally, following a common set of codi making teams of developers significantly more productive.
标签： W. Java Standards AmbySoft
上传时间： 2013-12-22
上传用户：mhp0114
Aspect-Oriented Software Developement Coverage includes Using AOSD to streamline complex systems development without sacrificing flexibility or scalability How AOSD builds on the object-oriented paradigmand how it s different State-of-the-art best practices for the AOSD development process Languages and foundations: separating concerns, filter technologies, improving modularity, integrating new features, and more Using key AOSD tools, including AspectJ, Hyper/J, JMangler, and Java Aspect Components Engineering aspect-oriented systems: UML, concern modeling and elaboration, dependency management, and aspect composition Developing more secure applications with AOSD techniques Applying aspect-oriented programming to database systems Building dynamic aspect-oriented infrastructure
标签： Aspect-Oriented Developement streamline Software
上传时间： 2013-12-01
上传用户：jennyzai
The widespread use of embedded systems mandates the development of industrial software design methods, i.e. computer-aided design and engineering of embedded applications using formal models (frameworks) and standardized prefabricated components, much in the same way as in other mature areas of engineering such as mechanical engineering and electronics. These guidelines have been used to develop Component-based Design of Software for Embedded Systems (COMDES). The paper gives an overview of the COMDES framework, followed by a presentation of a generic component types, such as function blocks, activities and function units. The execution of function units is discussed in the context of a newly developed execution model, i.e. timed-multitasking, which has been extended to distributed embedded systems.
标签： development widespread industrial embedded
上传时间： 2014-01-23
上传用户：z754970244
