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Normal science
Results: 1249

#	Item
571	CESifo Working Paper no. 3553 Add to Reading List Source URL: www.econstor.eu Language: English - Date: 2011-09-14 20:07:05 Science Knowledge Outcome Reciprocity Behavioral economics Normal-form game Game theory Social psychology Economics
572	Learning Predictive State Representations [removed] Satinder Singh Computer Science and Engineering, University of Michigan Add to Reading List Source URL: www.cs.utexas.edu Language: English - Date: 2003-11-08 15:06:01 Stochastic control Markov models Estimation theory Expectation–maximization algorithm Markov decision process Reinforcement learning Machine learning Algorithm Normal distribution Statistics Dynamic programming Markov processes
573	NIST BUILDING SCIENCE SERIES 174 Extreme Wind Distribution Tails: A ‘Peaks Over Threshold’ Approach E. Simiu1andN. A. Heckert2 Add to Reading List Source URL: fire.nist.gov Language: English - Date: 1997-09-03 13:17:46 Gumbel distribution Extreme value theory Weibull distribution Generalized extreme value distribution Confidence interval Statistical hypothesis testing Q-Q plot Normal distribution Plot Statistics Statistical inference Survival analysis
574	Conditioning and Evidence Henry E. Kyburg, Jr. ∗ The Institute for Human and Machine Cognition Add to Reading List Source URL: aaai.org Language: English - Date: 2006-01-11 07:35:18 Hypothesis testing Statistical inference Psychometrics Philosophy of science Henry E. Kyburg Jr. Probability Statistical hypothesis testing Normal distribution Bayesian probability Statistics Probability and statistics Bayesian statistics
575	The p-folded Cumulative Distribution Function and the Mean Absolute Deviation from the p-quantile Jing-Hao Xuea,∗, D. Michael Titteringtonb a Department of Statistical Science, University College London, London WC1E 6 Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2011-02-18 11:40:43 Cumulative distribution function Probability density function Expected value Mean Summary statistics Normal distribution Mean difference Statistics Probability theory Probability and statistics
576	The Normal Distribution: A derivation from basic principles Dan Teague The North Carolina School of Science and Mathematics Introduction Students in elementary calculus, statistics, and finite mathematics classes often Add to Reading List Source URL: castatistics.wikispaces.com Language: English - Date: 2009-09-02 12:01:06 Integral calculus Multiple integral Normal distribution Probability density function Expected value Polar coordinate system Integration by substitution Differential equation Shell integration Mathematical analysis Calculus Mathematics
577	Sensorless Manipulation Using Transverse Vibrations of a Plate Karl-Friedrich Bohringer Robotics & Vision Laboratory Dept. of Computer Science Cornell University Ithaca, NY[removed] Add to Reading List Source URL: www.ee.washington.edu Language: English - Date: 2003-07-05 01:08:00 Quantum mechanics Introductory physics Binary trees Normal mode Node Vibrating string Ernst Chladni Vibrator Vibration Physics Waves Sound
578	THE JOURNAL OF CHEMICAL PHYSICS 122, 184104 共2005兲 Calculation of Franck–Condon factors including anharmonicity: ˜ 2B ] C H X˜ 1A band in the photoelectron Simulation of the C2H4+X 2 4 Add to Reading List Source URL: dugi-doc.udg.edu Language: English - Date: 2013-05-13 07:48:20 Science Molecular physics Quantum chemistry Classical mechanics Ionization energy Franck–Condon principle Anharmonicity Normal mode TG Physics Chemistry Spectroscopy
579	Constructing Informative Priors using Transfer Learning Rajat Raina Andrew Y. Ng Daphne Koller Computer Science Department, Stanford University, CA[removed]USA Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2006-05-19 17:48:26 Covariance and correlation Linear filters Regression analysis Kalman filter Multivariate normal distribution Linear regression Covariance matrix Covariance and contravariance Covariance Statistics Data analysis Estimation theory
580	Background Subtraction on Distributions Teresa Ko, Stefano Soatto, and Deborah Estrin Vision Lab Computer Science Department University of California, Los Angeles 405 Hilgard Avenue, Los Angeles – CA 90095 Add to Reading List Source URL: vision.ucla.edu Language: English - Date: 2008-08-28 23:50:23 Segmentation Normal distribution Mixture model Pixel Image processing Statistics Probability

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