切换至中文 Over 1 million code package, 10 million code file free download
  • [Visual C++ (VC++)] beiyes.rar Bayesian network probability of Chinese word segmentation algorithm, based on the probability of word segmentation algorithm
    Category: MultiLanguage Upload User:combine369 Size:1K
  • [Matlab] 119128664bayes_classifier.rar Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share
    Category: matlab Upload User:wda518 Size:0K
  • [Matlab] bayes.rar Bayesian decision-making included the minimum risk and minimum error probability of the two simulation
    Category: matlab Upload User:daichengfu Size:2K
  • [Matlab] bcs_vb.zip The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images.
    Category: Algorithm Upload User:ouyezi0515 Size:90K
  • [Visual C++ (VC++)] Bayes_Classify.rar Bayesian classifier, the use of posterior probability of the known properties of the object classification
    Category: AI-NN-PR Upload User:lgyxyy Size:3K
  • [Matlab] bayesgauss.rar Gaussian Bayesian classifier
    Category: Graph Recognize Upload User:lyl598 Size:2K
  • [Matlab] ClassCode.rar This procedure achieved a matlab-based Bayesian classifier, Pattern Recognition Theory is the basic operation, and they hope to be helpful for beginners.
    Category: matlab Upload User:dearsheng Size:5K
  • [Matlab] SB2_Release_200.rar SparseBayes. . . . . . . . . . . . . . An Efficient Matlab Implementation of theSparse Bayesian Modelling Algorithm (Version 2.0)
    Category: AI-NN-PR Upload User:ltbhhb Size:153K
  • [Matlab] zuoye.rar Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.
    Category: matlab Upload User:ljruser Size:46K
  • [PDF] patternRecognition.rar This series of courseware on a pattern recognition system to the basic theory and basic methods. Covers the Bayesian decision-making, the estimated probability density function, linear discriminant function, the neighboring rules, feature selection and ...
    Category: AI-NN-PR Upload User:apeng2008 Size:13430K