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| First Page | Document Content | |
|---|---|---|
 Date: 2014-11-26 14:29:24Machine learning Estimation theory Statistical theory Expectation–maximization algorithm Bayesian network Gibbs sampling Perceptron Kullback–Leibler divergence Mixture model Statistics Statistical models Neural networks |
| Newton Method for the ICA Mixture ModelDocID: 1vftd - View Document |
| Semi-Supervised Learning with the Deep Rendering Mixture Model Tan Nguyen1,2 Wanjia Liu1 Ethan Perez1 Richard G. Baraniuk1DocID: 1v26R - View Document |
| BUDVYTIS ET AL.: MOT FOR VIDEO SEGMENTATION 1 MoT - Mixture of Trees Probabilistic Graphical Model for Video SegmentationDocID: 1uILx - View Document |
| Vol. 18 noPages 1194–1206 BIOINFORMATICS Bayesian infinite mixture model based clusteringDocID: 1usTr - View Document |
| Research © 2011 by The American Society for Biochemistry and Molecular Biology, Inc. This paper is available on line at http://www.mcponline.org A Bayesian Mixture Model for Comparative Spectral Count Data in Shotgun PrDocID: 1uaWx - View Document |