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Statistical model
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21	Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2010-10-31 18:18:15 Statistics Statistical models Stochastic processes Linear filters Bayesian statistics Estimation theory Gibbs sampling Normal distribution Kalman filter Mixture model Bayesian network Gaussian process
22	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model
23	Introduction to Information Retrieval ` `%%%`#_`__~~~false [0.5cm] IIR 6&7: Vector Space Model Add to Reading List Source URL: essir.uni-koblenz.de Language: English - Date: 2016-02-24 18:38:54 Information science Information retrieval Algebra Natural language processing Vector space model Statistical natural language processing Tfidf Latent semantic analysis Vector Learning to rank Euclidean vector Matrix
24	Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-08-08 22:07:31 Statistics Probability Statistical theory Probability distributions Statistical models Bayesian statistics Stochastic processes Graphical models Bayesian network Gibbs sampling Dirichlet process Mixture model
25	A Short Introduction to Probabilistic Soft Logic Angelika Kimmig1,2 , Stephen H. Bach1 , Matthias Broecheler3 , Bert Huang1 , Lise Getoor1 1 University of Maryland, 2 KU Leuven, 3 Aurelius LLC Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:10 Logic Philosophy Abstraction Bayesian statistics Markov networks Reasoning Model theory Semantics Probabilistic soft logic Markov logic network Probabilistic logic Statistical relational learning
26	Context-Aware Parameter Estimation for Forecast Models in the Energy Domain Lars Dannecker1,2, Robert Schulze1, Matthias Böhm2, Wolfgang Lehner2, Gregor Hackenbroich1 1SAP Research Dresden, 2Technische Universität Dres Add to Reading List Source URL: ssdbm2011.ssdbm.org Language: English - Date: 2011-09-01 19:55:38 Prediction Statistical forecasting Forecasting Time series analysis Forecast error Forecast model FORECAST Economy
27	WRF-DART 2011 Real-time mesoscale analysis spring experiment Add to Reading List Source URL: www2.mmm.ucar.edu Language: English - Date: 2011-07-19 10:48:57 Meteorology Physical geography Climatology Statistical forecasting Weather forecasting Control theory Data assimilation Estimation theory Assimilation National Center for Atmospheric Research Weather Research and Forecasting Model Meteorological reanalysis
28	White Paper For reprint orders, please contact Recommendations on bioanalytical method stability implications of co-administered and co-formulated drugs by Global CRO Council Add to Reading List Source URL: www.atlanbio.com Language: English - Date: 2015-06-08 07:25:25 Chemistry HannanQuinn information criterion Model selection Chromatography Loop quantum gravity Mass spectrometry Loop quantum cosmology Bioanalysis Liquid chromatographymass spectrometry Algorithme Pharma Analysis Statistical theory
29	RMM Vol. 2, 2011, 146–178 Special Topic: Statistical Science and Philosophy of Science Edited by Deborah G. Mayo, Aris Spanos and Kent W. Staley http://www.rmm-journal.de/ Aris Spanos Add to Reading List Source URL: www.rmm-journal.com Language: English - Date: 2011-10-27 11:24:50 Statistics Statistical theory Psychometrics Hypothesis testing Abduction Deductive reasoning Statistical inference Confidence interval Linear regression Statistical model Statistical hypothesis testing Frequentist probability
30	Efficient and Robust Automated Machine Learning Matthias Feurer Aaron Klein Katharina Eggensperger Jost Tobias Springenberg Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2016-01-30 21:34:03 Artificial intelligence Statistics Machine learning Model selection Statistical classification Ensemble learning Hyperparameter optimization Mathematical optimization Support vector machine Boosting Deep learning Weka