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Statistical learning theory
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#	Item
51	Journal of Machine Learning Research) ?? Submitted ??; Published ?? Posterior Regularization for Structured Latent Variable Models Kuzman Ganchev Add to Reading List Source URL: www.seas.upenn.edu Language: English - Date: 2011-02-28 22:52:31 Statistics Estimation theory Statistical theory Expectationmaximization algorithm Maximum likelihood estimation KullbackLeibler divergence Sufficient statistic Likelihood function Gamma distribution Generalized coordinates
52	Learning Articulated Skeletons from Motion David A. Ross, Daniel Tarlow, and Richard S. Zemel Department of Computer Science, University of Toronto, Canada {dross,dtarlow,zemel}@cs.toronto.edu Abstract. Humans demonstra Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2007-08-14 20:36:06 Statistics Statistical models Mathematics Graph theory Dynamical systems Mechanics Spanning tree Structure from motion Multibody system Image segmentation Bayesian network Graphical model
53	Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications Add to Reading List Source URL: users.ics.aalto.fi Language: English - Date: 2012-10-25 03:54:39 Statistics Machine learning Learning Artificial intelligence Statistical classification Data mining Concept drift Massive Online Analysis K-nearest neighbors algorithm Support vector machine Stochastic gradient descent Batch processing
54	SVD Feature Selection for Probabilistic Taxonomy Learning Fallucchi Francesca Disp, University “Tor Vergata” Rome, Italy Add to Reading List Source URL: art.uniroma2.it Language: English - Date: 2013-05-28 06:48:51 Algebra Statistics Mathematics Regression analysis Actuarial science Estimation theory Statistical models Latent semantic analysis Natural language processing Singular value decomposition Logit Logistic regression
55	JMLR: Workshop and Conference Proceedings vol 40:1–38, 2015 Thompson Sampling for Learning Parameterized Markov Decision Processes Aditya Gopalan Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:36 Statistics Statistical theory Estimation theory Bayesian statistics Statistical inference Loss function Markov decision process Reinforcement learning Exponential family Confidence interval Likelihood function Conjugate prior
56	Sampling-based Data Mining Algorithms: Modern Techniques and Case Studies Matteo Riondato Brown University, Providence, RI 02912, USA Abstract. Sampling a dataset for faster analysis and looking at it Add to Reading List Source URL: matteo.rionda.to Language: English - Date: 2016-07-30 12:22:15 Mathematics Graph theory Network theory Theoretical computer science Computational learning theory Dimension Statistical classification VC dimension Centrality Sampling Statistics Mode
57	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
58	Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation Dahua Lin Toyota Technological Institute at Chicago Add to Reading List Source URL: dahua.me Language: English - Date: 2013-10-22 19:40:40 Statistics Statistical theory Probability Bayesian statistics Stochastic processes Probability distributions Estimation theory Statistical natural language processing Dirichlet process Mixture model Variational Bayesian methods Dirichlet distribution
59	Reproducibility is imperative for any scientific discovery. More often than not, modern scientific findings rely on statistical analysis of high-dimensional data. At a minimum, reproducibility manifests itself in stabili Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Statistics Machine learning Computational statistics Statistical models Statistical theory Statistical inference Bootstrapping Cross-validation Stability
60	Institute of Physics and Engineering in Medicine Physiol. Meas–2203 Physiological Measurement doi: Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-08-11 03:00:56 Statistics Decision trees Statistical classification Estimation theory Learning Accelerometers Acceleration Decision tree learning Linear regression Predictive modelling Heart rate Prediction

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