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Stochastic
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#	Item
781	Published as a conference paper at ICLRA DAM : A M ETHOD FOR S TOCHASTIC O PTIMIZATION Diederik P. Kingma* University of Amsterdam Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-07-26 20:01:45 M-estimators Computational statistics Computational neuroscience Estimation theory Stochastic optimization Stochastic gradient descent Deep learning Artificial neural network Convolutional neural network Mathematical optimization Loss function Feature learning
782	Measuring Human Queues Using WiFi Signals Yan Wang Jie Yang Hongbo Liu Add to Reading List Source URL: www.winlab.rutgers.edu Language: English - Date: 2014-05-12 23:45:23 Operations research Stochastic processes Concurrency control Monitor Queueing theory Antenna Rashtriya Swayamsevak Sangh Scheduling
783	Supply planning for two-level assembly systems with stochastic component delivery times: trade-off between holding cost and service level Faicel Hnaien1, Xavier Delorme2, and Alexandre Dolgui2 1 Add to Reading List Source URL: www.emse.fr Language: English - Date: 2009-01-07 09:20:02 Inventory Operations research Supply chain management Mathematical optimization Distribution Inventory theory Safety stock Probability distribution Genetic algorithm Service level
784	An Introduction to Dynamic Optimization and Optimal Control: Models, Solutions, and Approximations Duration: 20 hours Teachers: Giorgio Gnecco - IMT - Institute for Advanced Studies, Lucca (Italy) - giorgio.gnecco@imtluc Add to Reading List Source URL: phd.dibris.unige.it Language: English - Date: 2016-01-15 11:17:54 Mathematical optimization Equations Operations research Optimal control Dynamic programming Bellman equation Lev Pontryagin Kalman filter Algebraic Riccati equation Stochastic programming Dimitri Bertsekas
785	Computing Marginal Distributions over Continuous Markov Networks for Statistical Relational Learning Matthias Br¨ocheler, Lise Getoor University of Maryland, College Park College Park, MD 20742 Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-06-14 19:26:49 Operations research Summary statistics Statistical models Convex optimization Linear programming Normal distribution Probability distribution Central limit theorem Expected value Random walk Stochastic process Standard deviation
786	Single-Source Stochastic Routing Shuchi Chawla1? and Tim Roughgarden2?? 1 2 Add to Reading List Source URL: theory.stanford.edu Language: English - Date: 2006-07-01 03:46:20 Operations research Linear programming Routing Flow network Approximate max-flow min-cut theorem Shortest path problem
787	Introduction Motivation Syntax and semantics Add to Reading List Source URL: www.cs.stir.ac.uk Language: English - Date: 2010-06-17 03:44:24 Markov models Graph theory Markov processes Stochastic process Stochastic PEPA Markov chain Scientific modelling Process calculus
788	arXiv:1410.7455v8 [cs.NE] 22 Jun 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-06-23 20:50:51 Stochastic optimization Estimation theory Computational statistics M-estimators Convex optimization Stochastic gradient descent Matrix Fisher information Deep learning Covariance matrix
789	WinSLAMM v 9.4 User’s Guide Output Start-Up Hints Press F1 on any screen within the program to Add to Reading List Source URL: www.winslamm.com Language: English - Date: 2009-08-03 23:04:37** Tail Widget Sum Dd Hydrology Stormwater management Stochastic Empirical Loading and Dilution Model
790	Efficient Learning of Mahalanobis Metrics for Ranking Daryl K. H. Lim DKLIM @ UCSD . EDU Department of Electrical and Computer Engineering, University of California, San Diego, CAUSA Gert Lanckriet Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:24 Machine learning Learning to rank Support vector machine XQ Valuation Supervised learning Stochastic gradient descent

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