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Mm algorithm
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1	The Annals of Statistics 2005, Vol. 33, No. 4, 1617–1642 DOI009053605000000200 © Institute of Mathematical Statistics, 2005 VARIABLE SELECTION USING MM ALGORITHMS Add to Reading List Source URL: www.personal.psu.edu Language: English - Date: 2005-09-07 11:13:57 Regression analysis Parametric statistics Linear regression Expectation–maximization algorithm Maximum likelihood Statistics Estimation theory Econometrics
2	Microsoft Word - draft_SGC_2014_MM Add to Reading List Source URL: smartgrid.ucla.edu Language: English - Date: 2014-10-08 15:59:45 K-nearest neighbor algorithm Cluster analysis Cross-validation K-means clustering Forecasting Statistics Machine learning Data analysis
3	Source Click here to download Manuscript: GrollmanBillard.tex Noname manuscript No. (will be inserted by the editor) Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 12:01:34 Statistical inference Statistical models Machine learning Normal distribution Expectation–maximization algorithm Xi Confidence interval Mixture model Generalized method of moments Statistics Estimation theory Econometrics
4	Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-07-24 09:27:48 Functions and mappings Model theory Ensemble learning Gradient boosting Function Expectation–maximization algorithm Supervised learning First-order logic Regression analysis Statistics Mathematics Machine learning
5	Structure Learning with Hidden Data in Relational Domains - Opening the Closed-World Assumption Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2013-07-24 09:27:48 Functions and mappings Model theory Ensemble learning Gradient boosting Function Expectation–maximization algorithm Supervised learning First-order logic Regression analysis Statistics Mathematics Machine learning
6	Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2012-07-18 16:57:18 Model theory Statistical models Ensemble learning Gradient boosting Expectation–maximization algorithm Function First-order logic Regression analysis Supervised learning Statistics Mathematics Machine learning
7	Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping Marion Neumann Plinio Moreno Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-07-24 09:19:57 Statistical classification Graph theory Graph Kernel Segmentation Linux kernel K-nearest neighbor algorithm Support vector machine Mathematics Statistics Software
8	Arenberg Doctoral School of Science, Engineering & Technology Faculty of Engineering Department of Computer Science On Continuous Distributions and Parameter Estimation in Probabilistic Logic Programs Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 12:20:07 Non-classical logic Statistical models Logic programming Theoretical computer science Probabilistic logic Prolog Statistical relational learning Algorithm Programming language Science Mathematics Logic
9	C:/Users/kkersting/Dropbox/AAAI13-bootstrapped_map/main.dvi Add to Reading List Source URL: first-mm.informatik.uni-freiburg.de Language: English - Date: 2013-07-24 09:34:56 Probability and statistics Belief propagation Markov random field Factor graph Bayesian network Inference Economic model Causality Expectation–maximization algorithm Statistics Graphical models Graph theory
10	Structure Learning with Hidden Data in Relational Domains Tushar Khot, Sriraam Natarajan∗ , Kristian Kersting∗+ , Jude Shavlik University of Wisconsin-Madison, USA ∗ Wake Forest University School of Medicine, USA Add to Reading List Source URL: www.first-mm.eu Language: English - Date: 2012-07-18 16:57:18 Model theory Statistical models Ensemble learning Gradient boosting Expectation–maximization algorithm Function First-order logic Regression analysis Supervised learning Statistics Mathematics Machine learning

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