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Statistical learning theory
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441	Marking criteria Section: Experimental Research Division: Junior (7 – 8) Add to Reading List Source URL: www.sciencevictoria.com.au Language: English - Date: 2008-02-17 23:31:46 Systems engineering Victorian Essential Learning Standards Philosophy of science Psychometrics Statistical theory Validity Design of experiments Statistics Science Engineering statistics
442	Practical Solution Techniques for First-order MDPs ⋆ Scott Sanner ∗ Statistical Machine Learning Group National ICT Australia Canberra, ACT, 0200, Australia Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2008-11-29 09:22:37 Operations research Control theory Equations Mathematical optimization Stochastic control Reinforcement learning Markov decision process Bellman equation Automated planning and scheduling Statistics Mathematics Dynamic programming
443	Technical DIscussion of TreeNet(tm) For further information consult: http://www.salford-systems.com/treenet.html Stochastic Gradient Boosting Jerome H. Friedman Add to Reading List Source URL: docs.salford-systems.com Language: English - Date: 2012-06-18 00:37:08 Gradient boosting Statistical inference Errors and residuals in statistics Normal distribution Regression analysis Variance AdaBoost Estimation theory Random forest Statistics Ensemble learning Decision trees
444	Microsoft Word - SST_Paper_2006_Modified_-Prof.doc Add to Reading List Source URL: www.assta.org Language: English - Date: 2007-09-27 06:01:00 Artificial intelligence Science Econometrics Computational linguistics Estimation theory Generalized method of moments Mixture model Speech recognition Statistical classification Machine learning Statistics Automatic identification and data capture
445	Structured Learning via Logistic Regression Justin Domke NICTA and The Australian National University [removed] Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2013-11-21 18:46:30 Statistical theory Estimation theory Decision theory Loss function Linear regression Gradient boosting Statistics Econometrics Regression analysis
446	Learning Cross-modality Similarity for Multinomial Data Yangqing 1 Jia Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:28 Estimation theory Linguistic modality Semantics Statistical natural language processing
447	Using Mobile Phones to Forecast Arterial Traffic through Statistical Learning Ryan Herring∗ Aude Hofleitner† Add to Reading List Source URL: bayen.eecs.berkeley.edu Language: English - Date: 2015-01-21 14:55:55 Road transport Estimation theory Traffic flow Linear regression Logistic regression Traffic congestion Maximum likelihood Least squares ZK Statistics Regression analysis Econometrics
448	Heavy-tailed Distances for Gradient Based Image Descriptors Yangqing Jia and Trevor Darrell UC Berkeley EECS and ICSI {jiayq,trevor}@eecs.berkeley.edu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:37 Estimation theory Normal distribution Histogram of oriented gradients Kullback–Leibler divergence Maximum likelihood Laplace distribution Variance One-shot learning Statistics Statistical theory Computer vision
449	Journal of Machine Learning Research[removed]2185 Submitted 6/07; Revised 1/08; Published[removed]A Moment Bound for Multi-hinge Classifiers Bernadetta Tarigan Add to Reading List Source URL: jmlr.org Language: English - Date: 2008-10-23 14:54:09 Statistical theory Statistics Automata theory Probability and statistics Ordinary differential equations Mathematics Itō diffusion Representation theory of finite groups Entropy Information theory Randomness
450	Recognizing Activities in Multiple Contexts using Transfer Learning T.L.M. van Kasteren and G. Englebienne and B.J.A. Kr¨ose Intelligent Systems Lab Amsterdam (ISLA) Science Park, Kruislaan 403, 1098 SJ Amsterdam, The N Add to Reading List Source URL: www.aaai.org Language: English - Date: 2008-10-15 16:33:56 Markov models Estimation theory Statistical theory Expectation–maximization algorithm Activity recognition Hidden Markov model Maximum likelihood Semi-supervised learning Pattern recognition Statistics Machine learning Artificial intelligence

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