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Statistics and Computer Science
Results: 1736

#	Item
511	University of Delaware at TREC 2014 Ashraf Bah, Karankumar Sabhnani, Mustafa Zengin, and Ben Carterette Department of Computer and Information Sciences, University of Delaware, Newark DE USA [ ashraf \| karans \| zengin \| Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2015-02-09 16:44:38 Information retrieval Natural language processing Data mining Computational linguistics Cluster analysis Automatic summarization Precision and recall Relevance Computer cluster Information science Statistics Science
512	Determining the number of components in a factor model from limited noisy data Shira Kritchman and Boaz Nadler1 Department of Computer Science and Applied Mathematics Weizmann Institute of Science, P.O.Box 26, Rehovot 76 Add to Reading List Source URL: www.wisdom.weizmann.ac.il Language: English - Date: 2008-06-03 18:16:22 Data analysis Covariance and correlation Singular value decomposition Mathematical physics Summary statistics Multivariate normal distribution Principal component analysis Eigenvalues and eigenvectors Covariance matrix Statistics Algebra Mathematics
513	Learning Classifiers for Misuse Detection Using a Bag of System Calls Representation Dae-Ki Kang1 , Doug Fuller2 , and Vasant Honavar1 1 Artiﬁcial Intelligence Lab, Department of Computer Science, Iowa State Universi Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2005-08-08 19:37:58 Computer vision Anomaly detection Intrusion detection system Misuse detection Synthetic data Feature Receiver operating characteristic Statistics Data security Data mining
514	From SIAM News, Volume 39, Number 8, OctoberBridging the Gap Between Numerical Linear Algebra, Theoretical Computer Science, and Data Applications By Gene H. Golub, Michael W. Mahoney, Petros Drineas, and Lek-Heng Add to Reading List Source URL: www.cs.yale.edu Language: English - Date: 2006-11-07 13:12:10 Matrix theory Numerical linear algebra Multivariate statistics Tensors Singular value decomposition Rank Matrix Non-negative matrix factorization Orthogonal matrix Algebra Linear algebra Mathematics
515	29 JuneThree Kinds of Probabilistic Induction: Universal Distributions and Convergence Theorems Ray J. Solomonoff Visiting Professor, Computer Learning Research Centre Add to Reading List Source URL: world.std.com Language: English - Date: 2014-07-03 19:24:31 Ray Solomonoff Applied mathematics Statistical inference Probability and statistics Kolmogorov complexity Inductive inference Probability Expected value Artificial intelligence Theoretical computer science Statistics
516	Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization Qing Liao, Qian Zhang Department of Computer Science and Engineering The Hong Kong University of Science and Technol Add to Reading List Source URL: www.cse.ust.hk Language: English - Date: 2014-01-05 09:06:34 Matrix theory Multivariate statistics Non-negative matrix factorization Singular value decomposition Singular value Matrix Algebra Linear algebra Mathematics
517	Machine Learning — Past and Future Ray J. Solomonoff Visiting Professor, Computer Learning Research Center Royal Holloway, University of London IDSIA, Galleria 2, CH–6928 Manno–Lugano, Switzerland Add to Reading List Source URL: world.std.com Language: English - Date: 2014-07-03 19:24:36 Artificial intelligence Cybernetics Probability and statistics Neural networks Ray Solomonoff Algorithmic information theory Artificial neural network Genetic algorithm Inductive inference Applied mathematics Mathematics Theoretical computer science
518	A fast learning algorithm for deep belief nets ∗ Geoffrey E. Hinton and Simon Osindero Yee-Whye Teh Department of Computer Science University of Toronto Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2008-10-31 15:01:14 Boltzmann machine Backpropagation Generative model Artificial neuron Independent component analysis Diffusion networks Gibbs sampling Pattern recognition Expectation–maximization algorithm Neural networks Statistics Machine learning
519	THE UNIVERSAL DISTRIBUTION AND MACHINE LEARNING Ray J. Solomonoff Visiting Professor, Computer Learning Research Center Royal Holloway, University of London IDSIA, Galleria 2, CH–6928 Manno–Lugano, Switzerland Add to Reading List Source URL: world.std.com Language: English - Date: 2014-09-18 21:25:35 Statistics Statistical inference Probability interpretations Algorithmic information theory Cybernetics Ray Solomonoff Algorithmic probability Inductive inference Kolmogorov complexity Science Artificial intelligence Knowledge
520	Large-Scale Cross-Document Coreference Using Distributed Inference and Hierarchical Models Sameer Singh§ Amarnag Subramanya† Fernando Pereira† Andrew McCallum§ § Department of Computer Science, University of Massa Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2011-05-20 17:36:16 Machine learning Data analysis Computational linguistics Speech recognition Coreference Cluster analysis Information extraction Markov chain Monte Carlo Record linkage Statistics Natural language processing Science

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