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Statistical algorithms
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#	Item
131	Algorithms for Planning under Uncertainty in Prediction and Sensing Jason M. O’Kane Benjam´ın Tovar Add to Reading List Source URL: msl.cs.uiuc.edu Language: English - Date: 2006-06-22 14:33:35 Knowledge Science Decision theory Measurement Uncertainty Bayes estimator Sensitivity analysis Info-gap decision theory Loss function Statistics Statistical theory Estimation theory
132	Does an Efficient Calibrated Forecasting Strategy Exist? Jacob Abernethy Univ. of California, Berkeley Div. of Computer Science Add to Reading List Source URL: web.eecs.umich.edu Language: English - Date: 2013-10-28 18:03:14 Bayesian statistics Statistical forecasting Analysis of algorithms Theoretical computer science Calibrated geometry Riemannian geometry Calibrated probability assessment Randomized algorithm Forecasting Mathematics Probability and statistics Applied mathematics
133	Online Self-Supervised Multi-Instance Segmentation of Dynamic Objects Alex Bewley1, Vitor Guizilini2 , Fabio Ramos2 and Ben Upcroft1 Abstract— This paper presents a method for the continuous segmentation of dynamic obj Add to Reading List Source URL: www-personal.acfr.usyd.edu.au Language: English - Date: 2015-01-05 23:35:49 Machine learning Data mining Computer vision Image processing Search algorithms Segmentation Statistical classification DBSCAN Histogram of oriented gradients Statistics Artificial intelligence Information science
134	3 Tools for Software Evolution Men are only as good as their technical development allows them to be.—George Orwell, Inside the Whale Games, statistical tests, and genetic algorithms all rely on random numbers. Unfort Add to Reading List Source URL: aiinfinance.com Language: English - Date: 2012-06-26 15:09:42 Software engineering Randomness C++ Linear congruential generator Modular arithmetic Random number generation Pseudorandomness Sequence container C++ classes Computer programming Computing Pseudorandom number generators
135	Framework Lower Bound Algorithms Experiments Conclusion Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2011-06-28 04:20:30 Stochastic optimization Parameter Statistical hypothesis testing Statistics Machine learning Multi-armed bandit
136	AND/OR Cutset Conditioning Robert Mateescu and Rina Dechter School of Information and Computer Science University of California, Irvine, CA 92697 {mateescu, dechter}@ics.uci.edu Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 15:53:56 Search algorithms Mathematics Bayesian statistics Statistical models Hybrid algorithm Combinatorial optimization Feedback vertex set Connectivity A* search algorithm Constraint programming Graph theory Theoretical computer science
137	From: Proceedings of the Third International Conference on Multistrategy Learning. Copyright © 1996, AAAI (www.aaai.org). All rights reserved. Fusing the Results of Diverse Algorithms John F. Elder IV, Ph.D. Elder Cons Add to Reading List Source URL: www.aaai.org Language: English - Date: 2006-01-11 11:06:53 Artificial intelligence Computational neuroscience Computational statistics Decision trees Decision tree learning Perceptron K-nearest neighbor algorithm Statistical classification Group method of data handling Machine learning Statistics Neural networks
138	Journal of Artificial Intelligence Research[removed] Submitted 04/13; published[removed]Learning Optimal Bayesian Networks: A Shortest Path Perspective Add to Reading List Source URL: www.jair.org Language: English - Date: 2013-10-16 20:39:07 Bayesian statistics Statistical models Graphical models Game artificial intelligence Search algorithms Bayesian network A* search algorithm Shortest path problem Directed acyclic graph Graph theory Mathematics Applied mathematics
139	Context-Sensitive Learning Methods for Text Categorization WILLIAM W. COHEN and YORAM SINGER AT&T Labs Two recently implemented machine-learning algorithms, RIPPER and sleeping-experts for Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2002-10-30 10:48:23 Statistics Natural language processing Statistical classification Computational linguistics Data mining Linear classifier Algorithm Stemming Document classification Machine learning Artificial intelligence Science
140	Fast Demand Forecast of Electric Vehicle Charging Stations for Cell Phone Application Mostafa Majidpour, Charlie Qiu, Ching-Yen Chung, Peter Chu, Rajit Gadh Hemanshu R. Pota Add to Reading List Source URL: smartgrid.ucla.edu Language: English - Date: 2014-08-07 11:57:50 Information science Search algorithms K-nearest neighbor algorithm Statistical classification Algorithm Cross-validation Charging station Artificial neural network Smart grid Machine learning Artificial intelligence Mathematics

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