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Probabilistic classification
Results: 82

#	Item
41	Reliability Digest, FebruaryLife Prediction and Classification of Fault-Modes in Solid State Lamps Using Bayesian Probabilistic Models Pradeep Lall, Junchao Wei, Peter Sakalaukus Add to Reading List Source URL: rs.ieee.org Language: English - Date: 2015-03-26 08:07:34 Optics Light-emitting diodes Semiconductor devices Photometry LED lamp Fluorescent lamp Lumen Incandescent light bulb Compact fluorescent lamp Lighting Light Gas discharge lamps
42	1 Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition using Knowledge Propagation Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-04-15 12:42:52 Missing data Statistics Estimation theory Expectation–maximization algorithm
43	Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition Yuanhao Chen MOE-MS Key Laboratory of MCC University of Science and Technology of China Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-04-07 14:52:32 Computer vision Image processing Segmentation Caltech 101 Object recognition Machine learning Pom Supervised learning Artificial intelligence Vision Imaging
44	Supplementary material for Probabilistic n-Choose-k Models for Classification and Ranking Proofs P P We introduce shorthand notation #r (y c ) = d2c 1 {yd = r} and #r (y c ) = d2c 1 {yd  r} Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-11-12 10:26:30 Truncation Logistic regression Statistics Regression analysis Numerical analysis
45	IEEE SIGNAL PROCESSING LETTERS, VOL. X, NO. X, Probabilistic Linear Discriminant Analysis for Acoustic Modelling Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2014-03-21 12:09:58 Markov models Statistical models Statistical classification Speech recognition Hidden Markov model Mixture model Linear discriminant analysis Generalized method of moments Mel-frequency cepstrum Statistics Estimation theory Bayesian statistics
46	Combining information theoretic kernels with generative embeddings for classification Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:42:59 Statistical classification Categorical data Probabilistic latent semantic analysis Statistical natural language processing Fisher kernel Generative model Supervised learning Generative Pattern recognition Statistics Machine learning Probability and statistics
47	A Comparison on Score Spaces for Expression Microarray Data Classification Alessandro Perina1 , Pietro Lovato2 , Marco Cristani2,3 , and Manuele Bicego2 1 2 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Categorical data Probabilistic latent semantic analysis Statistical classification Fisher kernel Generative model Latent Dirichlet allocation Expectation–maximization algorithm Statistics Statistical natural language processing Machine learning
48	Hybrid Generative-Discriminative Nucleus Classification of Renal Cell Carcinoma Aydın Ula¸s1, , Peter J. Sch¨ uﬄer2 , Manuele Bicego1, 1 Umberto Castellani , and Vittorio Murino1,3 Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:01 Probabilistic latent semantic analysis Machine learning Latent Dirichlet allocation Generative model Generative Histogram Document-term matrix Focus Atomic nucleus Statistics Statistical natural language processing Categorical data
49	3400 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 51, NO. 6, JUNE 2013 Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2014-05-20 05:48:55 Generative model Hidden Markov model Speech recognition Pattern recognition Lawrence Rabiner Discriminative model Naive Bayes classifier Embedding Probabilistic latent semantic analysis Statistics Machine learning Probability and statistics
50	Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong COMBINING FREE ENERGY SCORE SPACES WITH INFORMATION THEORETIC KERNELS: APPLICATION TO SCENE CLASSIFICATION Add to Reading List Source URL: profs.sci.univr.it Language: English - Date: 2012-06-26 09:41:00 Categorical data Probabilistic latent semantic analysis Statistical natural language processing Discriminative model Support vector machine Expectation–maximization algorithm Kullback–Leibler divergence Kernel Pattern recognition Statistics Machine learning Statistical classification

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