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
This Two-Category Classifier Using Discriminant Functions to separeate two classes. The Classifier is designed on classes which has two feature vectors and other case it has one feature vector.
标签： Classifier Discriminant Two-Category Functions
上传时间： 2016-04-23
上传用户：2525775
神经网络工具箱，包含SVM和NPA、"one-against-all" 、"one-against-one" 算法，有大量的例子。
上传时间： 2016-04-23
上传用户：xhz1993
A technical trading system comprises a set of trading rules that can be used to generate trading signals. In general, a simple trading system has one or two parameters that determine the timing of trading signals. Each rule contained in a trading system is the results of parameterizations. (Source: The Profitability of Technical Analysis: A Review by Cheol-Ho Park and Scott H. Irwin)
标签： trading technical comprises generate
上传时间： 2013-12-25
上传用户：tianyi223
The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants. The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France). The version 2.0 (February 2005) handles sparse matrices and contains an example
标签： discrete-time resolution functions Decision
上传时间： 2014-01-01
上传用户：xuanjie
The Radio Interface Layer is the name for an interface that was developed especially for the Pocket PC Phone Edition. It is meant to abstract the interface with a phone/modem device. To achieve this it is closely modelled after the GSM AT command interface. Unfortunately the API was not published officially by Microsoft. Instead more high level API s were published that should be sufficient for developers. Again, unfortunately they are not sufficient. For example the API for receiving notification of incoming SMS messages is arranged for exclusively for one application per type of SMS. Apparently this will be improved upon in Pocket PC 2003. Another area is the availablity of a true AT command modem interface to interact with the GSM modem directly, which is also absent.
标签： especially Interface for developed
上传时间： 2013-12-02
上传用户：wff
The control uses javascript to handle number formatting as you keep typing and does the validation as well. For one of our requirement, we needed a javascript based control that did formatting as the users kept typing. Google search only yielded script that did formatting on focus change events only. So I went about creating a new control myself.
标签： javascript formatting validation control
上传时间： 2016-05-15
上传用户：lingzhichao
I ve written some many years ago dynamic Huffman algorithm to compress and decompress data. It is mainly targeted to data with some symbols occuring more often than the rest (e.g. having some data file consisted of 3 different symbols and their total number of occurence in that file s1(1000), s2(200), s3(30) so the total length of file is 1000+200+30=1230 bytes, it will be encoded assigning one bit to s1 and 2 bits to s2, s3 so the encoded length will be 1*1000+2*(200+30)=1460 bits=182 bytes). In the best case the file consisted of just one symbol will be encoded with compression ratio as 1:8. Huffman coding is used in image compression, however in JPEG2000 arithmetic codec is imployed.
标签： decompress algorithm compress Huffman
上传时间： 2016-05-16
上传用户：aysyzxzm
Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge
标签： communications simulating scripting digital
上传时间： 2014-01-02
上传用户：plsee
