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Normal science
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#	Item
911	Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures Anirudha Majumdar, Ram Vasudevan, Mark M. Tobenkin, and Russ Tedrake Computer Science and Artificial Intelligence Laboratory Massachusetts Ins Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2013-06-01 00:19:52 Systems Systems theory Optimal control State space Stochastic differential equations Structure Holomorphic functional calculus Normal distribution Control theory Mathematical analysis Dynamical system
912	Microsoft Word - Rec.Extension_Table+Figs_12[removed]doc Add to Reading List Source URL: www.usbr.gov Language: English - Date: 2013-09-16 17:47:17 Actuarial science Statistical methods Linear regression Least squares Normal distribution Variance Statistics Regression analysis Econometrics
913	Optimizing Harvest Control Rules In the Presence of Natural Variability and Parameter Uncertainty Grant G. Thompson NMFS, Alaska Fisheries Science Center, 7600 Sand Point Way NE., Seattle, WA[removed]E-mail address: Add to Reading List Source URL: www.st.nmfs.noaa.gov Language: English - Date: 2011-03-18 11:32:53 Statistics Maximum sustainable yield Optimal control Overfishing Mathematical optimization Fish mortality Parameter Log-normal distribution Scale parameter Fisheries science Environment Fishing
914	Table of Contents Introduction ..................................................................................................................... 1 Chapter 1 Objectives for Chapter 1 .................................. Add to Reading List Source URL: www.ed.gov.nl.ca Language: English - Date: 2009-03-02 09:56:28 Sample Statistics Science Probability and statistics Sampling Survey methodology Normal distribution
915	Reinforcement learning with Gaussian processes Yaakov Engel Dept. of Computing Science, University of Alberta, Edmonton, Canada Shie Mannor Dept. of Electrical and Computer Engineering, McGill University, Montreal, Cana Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:01 Control theory Linear filters Stochastic differential equations Kalman filter Markov decision process Normal distribution Gaussian process Q-learning SARSA Statistics Markov models Stochastic processes
916	Learning Hierarchical Multi-Category Text Classiﬁcation Models Juho Rousu juho at cs.rhul.ac.uk Department of Computer Science, Royal Holloway University of London, TW20 0EX, United Kingdom Craig Saunders cjs at ecs.so Add to Reading List Source URL: www.machinelearning.org Language: English - Date: 2008-12-01 11:15:51 Operations research Statistical classification Support vector machine Normal distribution Linear programming Mathematical optimization Vector space Algebra Mathematics Statistics
917	Getting Albertans’ Lives Back to Normal The South Saskatchewan Region leads flood recovery in Southern Alberta with "New Authorizations Process" In June 2013, southern Alberta experienced the worst flooding in Alberta Add to Reading List Source URL: www.ipac.ca Language: English - Date: 2014-06-12 14:33:35 Risk Risk management Public safety Ethics Actuarial science Emergency management
918	Size, Age and the Growth of Firms: New Evidence from Quantile Regressions Roberta Distantey Ivan Petrellaz Add to Reading List Source URL: ageconsearch.umn.edu Language: English - Date: 2014-07-21 05:51:58 Econometrics Quantile regression Actuarial science Quantile Normal distribution Statistics Regression analysis Summary statistics
919	This document is designed to help North Carolina educators teach the Common Core (Standard Course of Study). NCDPI staff are continually updating and improving these tools to better serve teachers. Statistics and Probabi Add to Reading List Source URL: dpi.state.nc.us Language: English - Date: 2011-04-01 12:33:52 Regression analysis Econometrics Scientific method Parametric statistics Estimation theory Linear regression Normal distribution Correlation and dependence Probability distribution Statistics Information Science
920	Two-photon optics of Bessel-Gaussian modes Melanie McLaren,1, 2 Jacquiline Romero,3 Miles J. Padgett,3 Filippus S. Roux,1 and Andrew Forbes1, 2, ∗ 1 CSIR National Laser Centre, P.O. Box 395, Pretoria 0001, South Africa Add to Reading List Source URL: arxiv.org Language: English - Date: 2013-06-12 20:07:48 Quantum mechanics Quantum optics Axicon Lenses Bessel beam Gaussian beam Spontaneous parametric down-conversion Normal mode Gaussian function Physics Laser science Mathematical analysis

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