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Statistical algorithms
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#	Item
91	Figure 1: The collaborative topic Poisson factorization model (CTPF). A Stochastic variational inference for the collaborative topic Poisson factorization model Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2014-11-03 20:43:29 Machine learning Latent Dirichlet allocation Stochastic approximation Mathematics Mathematical optimization Bayesian statistics Evolutionary algorithms Dynamic topic model Stochastic optimization Statistics Statistical natural language processing
92	Mixed-effects inference for classification studies Release v1.04 (r19160) for MATLAB, March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested o Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2015-01-04 06:15:14 Bayesian inference Deduction Psychometrics Statistical inference Bayes factor Beta-binomial distribution Variational Bayesian methods Inference Normal distribution Statistics Bayesian statistics Statistical theory
93	Mixed-effects inference for classification studies R package v1.02 (r19176), March 2013 Introduction Classification algorithms are often used in a hierarchical setting, where a classifier is trained and tested on individ Add to Reading List Source URL: people.inf.ethz.ch Language: English - Date: 2015-01-04 06:15:15 Statistical theory Bayesian statistics Abduction Deduction Psychometrics Statistical inference Bayesian inference Bayes factor Inference Statistics Science Logic
94	Optimal Algorithms for Testing Closeness of Discrete Distributions Siu-On Chan∗ MSR New England . Ilias Diakonikolas† Add to Reading List Source URL: www.iliasdiakonikolas.org Language: English - Date: 2013-10-10 21:38:53 Fourier analysis Statistical theory
95	BIG DATA ALGORITHMS FOR VISUALIZATION AND SUPERVISED LEARNING A Dissertation Submitted to the Temple University Graduate Board Add to Reading List Source URL: astro.temple.edu Language: English - Date: 2014-11-01 17:02:59 Machine learning Computer graphics Learning Support vector machine Linear classifier Data mining Visualization MapReduce Data analysis Statistics Science Statistical classification
96	Algorithms Theoretical Baseline Document for product H14 – SM‐DAS‐2 Version 0.2 30 September 2011 EUMETSAT Satellite Application Facility on Support to Operational Hydrology and Water Managemen Add to Reading List Source URL: hsaf.meteoam.it Language: English - Date: 2014-11-12 04:54:25 Weather prediction Weather satellites Statistical forecasting EUMETSAT Data assimilation MetOp Integrated Forecast System Meteosat Advanced Microwave Sounding Unit Atmospheric sciences Meteorology Spaceflight
97	Dynamic algorithms for geometric spanners of small diameter: Randomized solutions Sunil Arya 1 Department of Computer Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hongkong. Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2006-04-07 01:20:42 Mathematics Dimension Euclidean plane geometry Estimation theory Statistical theory Computing Geometric spanner Proximity problems Skip list
98	Efficient Expected-Case Algorithms for Planar Point Location Sunil Arya1 , Siu-Wing Cheng⋆1 , David M. Mount⋆⋆2 , and H. Ramesh3 1 Department of Computer Science, The Hong Kong University of Science and Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2006-04-04 10:58:25 Statistical theory Information theory Point location Entropy K-d tree Decision tree model FO Bin Logarithm Theoretical computer science Mathematics Applied mathematics
99	Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning Daniel Tarlow† Microsoft Research Cambridge Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2013-05-10 18:43:05 Multivariate statistics Search algorithms Dimension reduction Neighbourhood components analysis K-nearest neighbor algorithm Statistical classification Nonlinear dimensionality reduction Large margin nearest neighbor Supervised learning Statistics Machine learning Artificial intelligence
100	Much Faster Bootstraps Using SAS® John Douglas (“J.D.”) Opdyke,* DataMineIt Abstract Seven bootstrap algorithms coded in SAS® are compared. The fastest (“OPDY”), which uses no modules beyond Base SAS®, achieve Add to Reading List Source URL: interstat.statjournals.net Language: English - Date: 2012-06-05 16:13:12 Search algorithms Ensemble learning Resampling Bootstrapping SAS Bootstrap aggregating Hash function Hash table Algorithm Statistics Computational statistics Statistical inference

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