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Statistical classification
Results: 8053

#	Item
311	Optical Character Recognition System for Amharic Documents Add to Reading List Source URL: cvit.iiit.ac.in Language: English - Date: 2015-08-05 03:17:19 Statistical classification Machine learning Artificial intelligence applications Pattern recognition Linear discriminant analysis Optical character recognition Feature extraction Support vector machine Amharic Linear classifier
312	Structured Prediction Cascades David Weiss and Ben Taskar University of Pennsylvania Abstract Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2010-07-29 22:32:37 Graphical models General topology Structured prediction Machine learning Statistical classification Conditional random field Net Constructible universe Bayesian network Support vector machine Filter Clique
313	Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning? Boris Babenko1 Piotr Doll´ar1,2 Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2009-07-14 20:22:18 Machine learning Ensemble learning Boosting Statistical classification Gradient boosting Supervised learning Multiple instance learning
314	Energy-efficient neuromorphic classifiers Daniel Mart´ı ∗ † , Mattia Rigotti ‡ † Mingoo Seok § and Stefano Fusi † Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-07-01 20:19:56 Artificial neural networks Statistical classification Electrical engineering Neuroscience Computational neuroscience MNIST database Support vector machine Neuromorphic engineering TrueNorth SyNAPSE Neuron Synaptic weight
315	CORANI ET AL.: ROBUST TEXTURE RECOGNITION USING IMPRECISE CLASSIFIERS 1 Robust Texture Recognition Using Credal Classifiers Add to Reading List Source URL: bmvc10.dcs.aber.ac.uk Language: English Statistical classification Machine learning Bayesian statistics Naive Bayes classifier Pattern recognition Supervised learning Credal set Imprecise probability Classifier Bayesian classifier Bayesian inference Bayes classifier
316	Bayes Optimal Kernel Discriminant Analysis Di You and Aleix M. Martinez Department of Electrical and Computer Engineering The Ohio State University, Columbus, OH 43210, USA Add to Reading List Source URL: www2.ece.ohio-state.edu Language: English - Date: 2010-07-14 17:50:30 Multivariate statistics Statistical classification Linear discriminant analysis Kernel method Kernel Fisher discriminant analysis Normal distribution K-nearest neighbors algorithm Distribution Kernel
317	JMLR: Workshop and Conference Proceedings 25:269–284, 2012 Asian Conference on Machine Learning On Using Nearly-Independent Feature Families for High Precision and Confidence Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2012-12-03 17:28:19 Statistical classification Machine learning Linear classifier Precision and recall Support vector machine Binary classification F1 score Supervised learning Classifier Probability distribution
318	Online Similarity Prediction of Networked Data from Known and Unknown Graphs Claudio Gentile, Mark Herbster, Stephen Pasteris Universita’ dell’Insubria, University College London 13 June 2013 Add to Reading List Source URL: www.monmeetings.org Language: English - Date: 2015-09-04 10:25:06 Machine learning Statistical classification Supervised learning Semi-supervised learning
319	Journal of Machine Learning Research–217 Submitted 8/03; Published 2/04 Generalization Error Bounds for Threshold Decision Lists Martin Anthony Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2004-02-19 16:06:51 Artificial neural networks Decision trees Generalization error Perceptron Decision tree model Artificial neuron Statistical classification VC dimension
320	Non-linear Metric Learning Dor Kedem, Stephen Tyree, Kilian Q. Weinberger Dept. of Comp. Sci. & Engi. Washington U. St. Louis, MO 63130 Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Machine learning Mathematical optimization Search algorithms Multivariate statistics Data mining K-nearest neighbors algorithm Color histogram Pattern recognition Statistical classification Nearest neighbor search Least squares Dimensionality reduction

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