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Description: ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
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Size: 563200 |
Author: 陈互 |
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Description: 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.
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Size: 2495488 |
Author: 海心 |
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Description: The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated .
The number of independent components are calculated using Bayes Information Criterion (BIC), with PCA for dimension reduction.-The Molgedey and Schuster decorrelation algorithm, having square mixing matrix and no noise . Truncation is used for the time shifted matrix, and it is forced to be symmetric . The delay Tau is estimated . The number of independent components are calculated using Bayes Information Criterion (BIC), with PCA for dimension reduction.
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Size: 12288 |
Author: 海心 |
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Description: 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.
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Size: 3072 |
Author: 黄风 |
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Description: 太阳黑子模型，采用时间序列，最小二乘法拟和，BIC检验，效果奇佳-sunspot model, time series, and the least squares method to be, BIC inspection work wonders
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Size: 266240 |
Author: 健星 |
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Description: 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.
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Size: 2048 |
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Description: 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
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Size: 958464 |
Author: 大辉 |
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Description: My-BIC是一个易于使用，强大的Ajax/PHP框架。
支持XML,JSON和TEXT的格式Ajax数据传输。
支持EasyForms：调用一个函数就能取得Form中的所有值，并为你创建一个少许美化的查询串。ajaxObj.getForm( formid )。
JSON客户端Encoding支持：利用该功能你就能够在客户端或服务器之间发送和接收经过JSON Encoding的数据。
网络断线保护：当服务器Down掉时My-BIC将帮助你删除请求并阻止产生更多的调用。
内置Submission队列：所有的AJAX请求将会发送到正确的顺序中，所有请求都会被存储在队列中防止被覆盖。提供一个帮助你在运行期进行调试的可视化操作界面。-My-BIC is an easy-to-use, powerful Ajax/PHP framework. Support for XML, JSON and TEXT format for Ajax data transfer. Support EasyForms: calling a function will be able to obtain all of the value of Form, and for you a little landscaping to create a query string. ajaxObj.getForm (formid). JSON client Encoding support: the use of this feature you can on the client or server to send and receive data through JSON Encoding. Network disconnection protection: When the server Down out when My-BIC will help you delete the request and generate more calls to stop. Built-Submission Queue: All the AJAX request will be sent to the correct order, all requests will be stored in the queue to prevent be overwritten. Provide a help you in the run-time debugging visualization interface.
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Size: 93184 |
Author: joseph |
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Description: he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization.
The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.
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Size: 7168 |
Author: 薛耀斌 |
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Description: 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.
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Size: 5902336 |
Author: xiaobai |
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Description: 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
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Size: 4096 |
Author: wangerzhu |
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Description: 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
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Size: 6844416 |
Author: 姚其 |
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Description: 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.
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Size: 243712 |
Author: ZCEEE |
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Description: this matlab code for bic (bayesian information criterion)-this is matlab code for bic (bayesian information criterion)
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Size: 1024 |
Author: lama |
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Description: the code relates to bicubic interpoations with osnr values
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Size: 129024 |
Author: pilla.jagadeesh |
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Description: BIC颜色特征，广泛应用于图像检索，图像追踪等领域，BIC特征提取颜色直方图-BIC color characteristics, widely used in image retrieval, image tracking and other fields, BIC color histogram feature extraction
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Size: 1024 |
Author: 陶华伟 |
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Description: 基于bic优化准则进行的语音端点检测，有很好的借鉴作用。
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Size: 2772 |
Author: 379308596@qq.com |
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Description: 对K-means聚类算法的改进X-means算法。针对K值如何设定的问题，利用BIC准则判断聚类点数量。同时附有两个初始聚类点的选择程序，自己选吧。(The improved X-means algorithm for K-means clustering algorithm. In view of the problem of how to set the K value, the number of clustering points is judged by the BIC criterion. At the same time, there are two initial clustering points of the selection program, choose it yourself.)
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Size: 4096 |
Author: kbc1993 |
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Description: 通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)
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Size: 1024 |
Author: MasterW |
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Description: 获得对应Copula函数的LL\AIC\BIC值并选择最佳拟合函数，得到拟合系数值，绘制相关系数图形。(Obtain the ll \ AIC \ BIC value of the corresponding copula function and select the best fitting function to obtain the fitting coefficient value and draw the correlation coefficient graph.)
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Size: 7168 |
Author: HHTTT |
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