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Likelihood
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#	Item
151	Highly Accurate Maximum Likelihood Laser Mapping by Jointly Optimizing Laser Points and Robot Poses Michael Ruhnke Rainer K¨ummerle Add to Reading List Source URL: europa.informatik.uni-freiburg.de Language: English - Date: 2011-05-22 16:12:33 Robotics Artificial intelligence Robot navigation Robot control Humancomputer interaction Cartography Computer vision 3D scanner Robotic mapping Occupancy grid mapping Mobile robot Pose
152	Finding Progression Stages in Time-evolving Event Sequences Jaewon Yang†∗ Julian McAuley† Jure Leskovec† Paea LePendu‡ Nigam Shah‡ † Computer Science, Stanford University, {jayang, jmcauley, jure}@cs.stanfo Add to Reading List Source URL: infolab.stanford.edu Language: English - Date: 2014-03-21 13:55:25 Statistics Estimation theory Sequence Maximum likelihood estimation Cross entropy Logistic regression Expectationmaximization algorithm Regression analysis
153	Personality and Social Psychology Bulletin http://psp.sagepub.com Do People Brace Sensibly? Risk Judgments and Event Likelihood Kate Sweeny and James A. Shepperd Add to Reading List Source URL: www.katesweeny.com Language: English - Date: 2014-03-10 00:04:32 Motivation Philosophy of life Philosophy Cognitive biases Belief Psychology Optimism Personality Pessimism Risk Overconfidence effect Defensive pessimism
154	SAS:SAS Graph Generic Driver Add to Reading List Source URL: ir.missouri.edu Language: English - Date: 2008-05-30 15:38:19 Estimation theory Statistics Statistical theory Libart Likelihood function Maximum likelihood estimation Confidence interval Pell Grant Score
155	Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Lars Buesing∗ , Jakob H. Macke∗,† , Maneesh Sahani Gatsby Computational Neuroscience Unit Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:14 Statistics Statistical theory Estimation theory Expectationmaximization algorithm Maximum likelihood estimation Variational Bayesian methods Linear regression Normal distribution Covariance Regression analysis Mixture model
156	Course: Econometrics II Faculty: Add to Reading List Source URL: idea.uab.es Language: English - Date: 2016-07-22 04:41:06 Fellows of the Econometric Society Estimation theory Statistics Econometrics Maximum likelihood estimation Extremum estimator Bellaterra Methodology of econometrics
157	A Structural EM Algorithm for Phylogenetic Inference by Matan Ninio B.Sc., Hebrew UniversitySubmitted to the School of Computer Science & Engineering Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:34 Computational phylogenetics Phylogenetics Biology Bioinformatics Estimation theory Statistics Phylogenetic tree Maximum parsimony Maximum likelihood estimation Tree Binary tree PHYLIP
158	Lecture Notes in Computer Science 2683 International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition July 2003, Lisbon, Portugal c 2003 Springer-Verlag Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2005-11-08 06:49:42 Algebra Linear algebra Mathematics Estimation theory Matrix theory Numerical linear algebra Matrix Multivariate statistics Singular value decomposition Expectationmaximization algorithm Rank Maximum likelihood estimation
159	Slice sampling C. Planas, and A. Rossi Joint Research Centre of European Commission MACFINROBODS WorkshopJanuary 2015, London Add to Reading List Source URL: www.macfinrobods.eu Language: English - Date: 2015-02-13 10:28:08 Statistics Statistical theory Markov chain Monte Carlo Bayesian statistics Estimation theory Monte Carlo methods Computational statistics Slice sampling Gibbs sampling Likelihood function MetropolisHastings algorithm
160	Learning Latent Groups with Hinge-loss Markov Random Fields Stephen H. Bach Bert Huang Lise Getoor University of Maryland, College Park, Maryland 20742, USA Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-14 15:37:03 Statistics Probability theory Graphical models Machine learning Statistical models Statistical theory Bayesian statistics Markov random field Latent variable Expectationmaximization algorithm Marginal likelihood Conditional random field

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