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Computational statistics
Results: 2978

#	Item
51	RGB-D Object Recognition and Pose Estimation Based on Pre-Trained Convolutional Neural Network Features Add to Reading List Source URL: www.ais.uni-bonn.de Language: English - Date: 2015-03-03 05:00:04 Computer vision Artificial intelligence Computational neuroscience Vision Statistics Artificial neural networks Convolutional neural network Robot control Outline of object recognition Pose Image segmentation Support vector machine
52	Evaluating Users’ Satisfaction in Packet Networks Using Random Neural Networks Gerardo Rubino1 , Pierre Tirilly1 , and Martın Varela2,! 1 Inria/Irisa, Rennes Add to Reading List Source URL: www.cnl.fi Language: English - Date: 2011-03-31 17:25:57 Artificial neural networks Applied mathematics Computational neuroscience Computational statistics Electrical engineering Statistics Random neural network Video quality Voice over IP PESQ Jitter Packet loss
53	1 A fast partitioning algorithm and its application to earthquake investigation Rudolf Scitovski 1 Department of Mathematics, University of Osijek Add to Reading List Source URL: www.mathos.unios.hr Language: English - Date: 2014-09-12 02:40:18 Statistics Operations research Computational statistics K-means clustering Cluster analysis Mathematical optimization Algorithm Applied mathematics
54	PARTICLE FILTERS FOR EFFICIENT METER TRACKING WITH DYNAMIC BAYESIAN NETWORKS Ajay Srinivasamurthy∗ Andre Holzapfel† Add to Reading List Source URL: www.rhythmos.org Language: English - Date: 2015-07-18 05:41:54 Statistics Probability Monte Carlo methods Computational statistics Estimation theory Markov models Robot control Particle filter Auxiliary particle filter Hidden Markov model Normal distribution Resampling
55	TEM Journal–151 Predicting Bidding Price in Construction using Support Vector Machine Silvana Petruseva 1, Phil Sherrod 2, Valentina Zileska Pancovska 1, Aleksandar Petrovski 3 Add to Reading List Source URL: www.temjournal.com Language: English - Date: 2016-06-03 09:19:27 Statistics Machine learning Applied mathematics Statistical classification Computational neuroscience Computational statistics Estimation theory Artificial neural networks Support vector machine Regression analysis Perceptron Feature selection
56	Robust Entity Clustering via Phylogenetic Inference Nicholas Andrews and Jason Eisner and Mark Dredze Department of Computer Science and Human Language Technology Center of Excellence Johns Hopkins University 3400 N. Cha Add to Reading List Source URL: www.cs.jhu.edu Language: English - Date: 2014-05-16 20:46:24 Statistics Estimation theory Computational statistics Cluster analysis Gibbs sampling Markov chain Monte Carlo Expectationmaximization algorithm Consensus clustering Likelihood function Sampling
57	MrBayesPrimer (with a focus on model selection) Jeremy M. Brown Dept. of Biological Sciences Louisiana State University www.phyleauxgenetics.org Add to Reading List Source URL: treethinkers.org Language: English - Date: 2014-03-09 14:13:45 Statistics Statistical theory Probability Bayesian statistics Bioinformatics Computational phylogenetics Command shells Probability distributions Markov chain Monte Carlo Substitution model IBM i Control Language Command-line interface
58	Attend, Infer, Repeat: Fast Scene Understanding with Deep Generative Models S. M. Ali Eslami David Szepesvari Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 11:44:38 Artificial neural networks Statistics Artificial intelligence Applied mathematics Cybernetics Computational neuroscience Computational statistics Deep learning Graphical models Bayesian network Pattern recognition Computer vision
59	A Machine Learning Approach for Filtering Monte Carlo Noise Add to Reading List Source URL: cvc.ucsb.edu Language: English - Date: 2015-05-13 18:18:10 Artificial intelligence Statistics Computational neuroscience Machine learning Artificial neural networks Computational statistics Mathematical psychology Noise reduction Backpropagation Bilateral filter Mixture model Convolutional neural network
60	Course Syllabus: COMPSCI 688 Probabilistic Graphical Models – Spring 2016 Instructor: Prof. Brendan O’Connor (http://brenocon.com) Add to Reading List Source URL: people.cs.umass.edu Language: English - Date: 2016-02-29 18:06:04 Statistics Education Applied mathematics Computational statistics Statistical models Graphical models Bayesian statistics Markov models Bayesian network Markov random field Educational technology Markov chain Monte Carlo

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