First Page | Document Content | |
---|---|---|
Date: 2017-02-05 19:13:20Mathematical analysis Probability and statistics Probability theory Machine learning Computational neuroscience Computational statistics Artificial neural networks Bayesian statistics Gaussian function Mixture model Mixture distribution Joint probability distribution | Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston UniversityAdd to Reading ListSource URL: publications.aston.ac.ukDownload Document from Source WebsiteFile Size: 428,26 KBShare Document on Facebook |
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 |