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[Other resource] mbclust DL : 0: 基于模型聚类算法的matlab实现 This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMODEL based on the highest BIC.-model-based clustering algorithm to achieve the Matlab This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMO DEL based on the highest BIC.
Update : 2008-10-13 Size : 3.24kb Publisher : 黄风
[matlab] ICA_demo_text DL : 0: ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used. -ICA is used to classify text in extension to the latent semantic indexing framework. ICA show to align the context grouping structure well in a human sense [1], thus can be used for unsupervised classification. The demonstration shows this on medical abstracts (MED dataset), that uses BIC to estimate the number of classes and produces keywords for each class. The icaML algorithm is used.
Update : 2025-02-19 Size : 2.38mb Publisher : 海心
[AI-NN-PR] mbclust DL : 0: 基于模型聚类算法的matlab实现 This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMODEL based on the highest BIC.-model-based clustering algorithm to achieve the Matlab This does the entire MB Clustering given a set of data. It only does the 4 basic models, unequal-unknown priors. It returns the BESTMO DEL based on the highest BIC.
Update : 2025-02-19 Size : 3kb Publisher : 黄风
[Audio program] bic_audio_segment DL : 0: 采用bic准则的音频流分割程序，能够准确找出不同音频种类的分界点位置，如音乐和语音。-adopted guidelines streaming audio segmentation procedures to accurately identify different types of audio demarcation point position, as music and voice.
Update : 2025-02-19 Size : 2kb Publisher :
[AI-NN-PR] ReversibleJumpMCMCSimulatedAnneaing DL : 0: This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL
Update : 2025-02-19 Size : 936kb Publisher : 大辉
[Wavelet] yuanma DL : 0: 对于PCA ，LDA，BIC，EBGM都有很详细的代码。但是需要在LINUX下配置运行。不过代码较有参考价值。-For PCA, LDA, BIC, EBGM have a very detailed code. But the need to configure to run under LINUX. However, a more useful code.
Update : 2025-02-19 Size : 5.63mb Publisher : xiaobai
[Communication-Mobile] GMM DL : 0: 使用GMM模式建立的语音识别系统，matlab源代码，供大家参考！-GMM model using the speech recognition system, matlab source code for your reference!
Update : 2025-02-19 Size : 1kb Publisher : 王良
[Algorithm] AR DL : 0: 使用时间序列分析AR方法对油价进行分析，以及预测。采用BIC准则进行判阶，最小二乘法进行参数估计-AR time series analysis using the method of price analysis and forecasting. BIC criteria used sentence order, the least square method for parameter estimation
Update : 2025-02-19 Size : 4kb Publisher : wangerzhu
[matlab] GMMandEMandBICProgramm DL : 0: 模式识别关于GMM+EM+BIC，请运行附件的程序。主程序：VASceneAnalysisFH7_ICMEFull_2009.m -Pattern Recognition on the GMM+ EM+ BIC, please run the attached file. Main program: VASceneAnalysisFH7_ICMEFull_2009.m
Update : 2025-02-19 Size : 6.53mb Publisher : 姚其
[Documents] Investigation_on_Model_Selection_Criteria_for_Spe DL : 0: Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.
Update : 2025-02-19 Size : 238kb Publisher : ZCEEE
[matlab] bicincrease.m DL : 0: this matlab code for bic (bayesian information criterion)-this is matlab code for bic (bayesian information criterion)
Update : 2025-02-19 Size : 1kb Publisher : lama
[matlab] capacity_with_sir DL : 0: OFDM系统下，系统容量和系统信干比的关系曲线-OFDM system, the system capacity and system signal to interference ratio curve
Update : 2025-02-19 Size : 1kb Publisher : 逸尘
[matlab] bic DL : 0: the code relates to bicubic interpoations with osnr values
Update : 2025-02-19 Size : 126kb Publisher : pilla.jagadeesh
[matlab] lab DL : 1: 基于AIC,BIC准则的变量选择方法的matlab程序实现代码-Based on AIC, BIC criteria for variable selection methods matlab program implementation code
Update : 2025-02-19 Size : 1kb Publisher : lebesgue
[matlab] annlyap DL : 0: 最小RMSE神经网络方法计算Lyapunov指数的matlab函数。-This M-file calculates Lyapunov exponents with minimum RMSE neural network. After estimation of network weights and finding network with minimum BIC, derivatives are calculated. Sum of logarithm of QR decomposition on Jacobian matrix for observations gives spectrum of Lyapunov Exponents. Using the code is very simple, it needs only an scalar time series, number of lags and number of hidden unites. Higher number of hidden units leads to more precise estimation of Lyapunov exponent, but it is time consuming for less powerful personal computers. Number of lags determines number of embedding dimensions. Therefore, please give number of lags equal to number of embedding dimension. The codes creates networks with various neurons up to user supplied value for neurons and lags up to user specified number lags. Total number of networks are equal to number of neurons times number of lags. this modeling strategy is complex but helps to user select embedding dimension based on minimum BIC.
Update : 2025-02-19 Size : 2kb Publisher : miaomiao
[matlab] sub_AIC DL : 1: matlab程序，用pca分解重构对原始信号进行噪声抑制，利用bic准则进行主分量阶数选择-matlab program, using pca decomposition and reconstruction of the original signal noise suppression, the use of principal component bic guidelines Order Selection
Update : 2025-02-19 Size : 1kb Publisher : 石头
[Program doc] AICBIC DL : 0: 对于ARMA模型定阶方法AIC BIC的matlab程序，非常实用-For the ARMA model order methods AIC BIC matlab procedures, very practical
Update : 2025-02-19 Size : 1kb Publisher : a
[Other] 色噪声程序， DL : 1: 信号处理，本代码包含了AIC,BIC准则，MDL准则的程序matlab实现以及每个程序的模块。(This code contains AIC, BIC criterion, MDL standard program matlab implementation and modules of each program.)
Update : 2025-02-19 Size : 4kb Publisher : qiuxiao112