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Statistical learning theory
Results: 800

#	Item
221	A Bayesian approach to network modularity Jake Hofman Wiggins Lab Columbia University Add to Reading List Source URL: www.jakehofman.com Language: English - Date: 2009-01-22 17:20:54 Statistical theory Generative model Machine learning Bayesian inference Bayesian network Biological network inference Statistics Bayesian statistics Statistical models
222	 Simulating Data for Growth Mixture Model Studies: Considering Measures of Data Overlap Add to Reading List Source URL: www.modeling.uconn.edu Language: English - Date: 2015-05-20 17:48:22 Machine learning Mixture model Correlation and dependence Harring Model theory Repeated measures design Mixture Statistics Statistical models Cluster analysis
223	JMLR: Workshop and Conference Proceedings 34:167–181, 2014 Proceedings of the 12th ICGI Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-08-26 06:56:50 Automata theory Statistics Models of computation Metric geometry Ultrametric space Statistical hypothesis testing Regular expression String Deterministic finite automaton Formal languages Theoretical computer science Mathematics
224	Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Department of Computer Science University of Toronto Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-03-25 03:56:45 Markov models Computational statistics Statistical theory Variational Bayesian methods Hyperparameter Bayesian inference Markov chain Monte Carlo Surrogate model Estimation theory Statistics Bayesian statistics Statistical inference
225	Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa1 , Yanjun Qi2 , Bing Bai2 , Ronan Collobert2 , Jason Weston3 , Vladimir Pavlovic1 , and Xia Ning4 1 Department of Co Add to Reading List Source URL: ronan.collobert.com Language: English - Date: 2010-07-06 10:10:09 Computational linguistics Science Statistical classification Machine learning Category theory String kernel Support vector machine Kernel Supervised learning Mathematics Statistics Natural language processing
226	On 21 September 2014, Alexej Chervonenkis went for a walk in a park on the outskirts of Moscow and got lost. He called his wife in the evening, and last talked to her around midnight, saying that he would try to sleep a Add to Reading List Source URL: people.tuebingen.mpg.de Language: English - Date: 2014-12-08 17:26:37 Computational learning theory Empirical process Year of birth missing Machine learning Alexey Chervonenkis Statistical classification Vladimir Vapnik Support vector machine Glivenko–Cantelli theorem Statistics Mathematics Mathematical sciences
227	Chapter 1 Rise of the Machines Larry Wasserman On the 50th anniversary of the Committee of Presidents of Statistical Societies I reflect on the rise of the field of Machine Learning and what it means Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-02-16 16:55:39 Machine learning Expectation–maximization algorithm Errors-in-variables models Estimator Kernel density estimation M-estimator Minimax estimator Statistics Estimation theory Maximum likelihood
228	Efficient Noise-Tolerant Learning from Statistical Queries MICHAEL KEARNS AT&T Laboratories—Research, Florham Park, New Jersey Abstract. In this paper, we study the problem of learning in the presence of classificatio Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2003-04-11 14:26:30 Mathematics Formal sciences Cybernetics Computational learning theory Pattern recognition Information theory Decision tree model PP Logarithm Theoretical computer science Applied mathematics Machine learning
229	David M. Andrzejewski Professional experience Industry Spring 2014 to present Add to Reading List Source URL: www.david-andrzejewski.com Language: English - Date: 2015-03-25 13:34:47 Statistics Statistical natural language processing Computational linguistics Data mining Natural language processing Topic model Information retrieval Conference on Neural Information Processing Systems Computational learning theory Artificial intelligence Machine learning Science
230	Maximum Likelihood Estimation & Gamma-ray Spectral Analysis David C. Y. Hui Department of Astronomy & Space Science Chungnam National University Add to Reading List Source URL: www.physics.hku.hk Language: English - Date: 2010-06-23 23:34:06 Bayesian statistics Maximum likelihood Likelihood function One-shot learning Expectation–maximization algorithm Estimation theory Statistics Statistical theory

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