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Bayesian network
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11	PROBABILISTIC MODELING OF GENE REGULATORY NETWORKS FROM DATA Thesis submitted for the degree “Doctor of Philosophy” Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:34 Statistics Networks Learning Systems science Statistical models Systems biology Machine learning Bayesian network Gene regulatory network Nir Friedman Gaussian process Nonlinear dimensionality reduction
12	Gaussian sampling by local perturbations George Papandreou Department of Statistics University of California, Los Angeles Add to Reading List Source URL: www.stat.ucla.edu Language: English - Date: 2010-10-31 18:18:15 Statistics Statistical models Stochastic processes Linear filters Bayesian statistics Estimation theory Gibbs sampling Normal distribution Kalman filter Mixture model Bayesian network Gaussian process
13	Learning stick-figure models using nonparametric Bayesian priors over trees Edward W. Meeds, David A. Ross, Richard S. Zemel, and Sam T. Roweis Department of Computer Science University of Toronto {ewm, dross, zemel, row Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-08-08 22:07:31 Statistics Probability Statistical theory Probability distributions Statistical models Bayesian statistics Stochastic processes Graphical models Bayesian network Gibbs sampling Dirichlet process Mixture model
14	A Short Introduction to Probabilistic Soft Logic Angelika Kimmig1,2 , Stephen H. Bach1 , Matthias Broecheler3 , Bert Huang1 , Lise Getoor1 1 University of Maryland, 2 KU Leuven, 3 Aurelius LLC Add to Reading List Source URL: stephenbach.net Language: English - Date: 2013-06-10 18:15:10 Logic Philosophy Abstraction Bayesian statistics Markov networks Reasoning Model theory Semantics Probabilistic soft logic Markov logic network Probabilistic logic Statistical relational learning
15	Mean Field Variational Approximations in Continuous-Time Markov Processes A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science Add to Reading List Source URL: www.cs.huji.ac.il Language: English - Date: 2015-08-10 08:23:20 Bayesian statistics Statistics Graphical models Probability Markov models Bayesian network Probability distribution Markov chain Expectation propagation Approximate inference Likelihood function Hidden Markov model
16	S TATC MSC 35425: T OPICS IN S TATISTICAL M ACHINE L EARNING Syllabus, Spring 2016 Topics in Statistical Machine Learning is a second course in machine learning, with students assumed to have previous exposure t Add to Reading List Source URL: galton.uchicago.edu Language: English - Date: 2016-04-13 06:56:12 Statistics Machine learning Artificial intelligence Learning Statistical models Language modeling Word embedding Pattern recognition Bayesian inference Mixture model Artificial neural network Higher-order singular value decomposition
17	Evaluating Interval-Valued Influence DiagramsI Rafael Caba˜nasa,∗, Alessandro Antonuccib , Andr´es Canoa , Manuel G´omez-Olmedoa a Department of Computer Science and Artificial Intelligence CITIC, University of Gran Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-05-24 15:35:25 Mathematics Logic Model theory Abstraction Limit Interpretation IP Bayesian network Static single assignment form Symbol Expected value Linear temporal logic
18	Rounding Guarantees for Message-Passing MAP Inference with Logical Dependencies Stephen H. Bach Computer Science Dept. University of Maryland Add to Reading List Source URL: stephenbach.net Language: English - Date: 2014-12-17 17:02:10 Graphical models Mathematical analysis Mathematics Probability Mathematical optimization Operations research Linear programming Probability theory Markov random field Linear programming relaxation Relaxation Bayesian network
19	Air pollution prediction via multi-label classification Giorgio Corani and Mauro Scanagatta Istituto Dalle Molle di Studi sull’Intelligenza Artificiale (IDSIA) Scuola universitaria professionale della Svizzera italiana Add to Reading List Source URL: ipg.idsia.ch Language: English - Date: 2016-04-26 02:11:02 Statistics Statistical classification Multivariate statistics Naive Bayes classifier Bayesian network Feature selection Bayes classifier Dependent and independent variables Machine learning Supervised learning K-nearest neighbors algorithm
20	Hinge-Loss Markov Random Fields and Probabilistic Soft Logic arXiv:1505.04406v2 [cs.LG] 9 DecStephen H. Bach∗ Matthias Broecheler† Bert Huang‡ Lise Getoor§ Add to Reading List Source URL: stephenbach.net Language: English - Date: 2015-12-16 16:04:19 Logic Graphical models Mathematics Mathematical logic Structured prediction Markov random field Probability theory Non-classical logic Logic in computer science Bayesian network Random field Fuzzy logic