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J–Machine
Results: 754

#	Item
681	A NOVEL APPROXIMATE INFERENCE APPROACH TO AUTOMATED CLASSIFICATION OF PROTEIN SUBCELLULAR LOCATION PATTERNS IN MULTI-CELL IMAGES Shann-Ching Chen1, Geoffrey J. Gordon3, and Robert F. Murphy1,2,3 Department of Biomedical Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-15 11:10:25 Graphical models Bayesian statistics Statistical models Graph operations Statistical classification Bayesian network Belief propagation Support vector machine Graph Graph theory Statistics Mathematics
682	Closing the Learning-Planning Loop with PSRs Byron Boots [removed] Sajid M. Siddiqi* [removed] Geoffrey J. Gordon Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2010-01-15 11:15:38 Stochastic control Markov models Cybernetics Algorithm Partially observable Markov decision process Markov decision process Automated planning and scheduling Machine learning Expectation–maximization algorithm Statistics Dynamic programming Markov processes
683	Closed-Form Supervised Dimensionality Reduction with Generalized Linear Models Irina Rish IBM T.J. Watson Research Center, Yorktown Heights, NY[removed]USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-08-10 09:51:56 Statistical classification Regression analysis Statistical theory Supervised learning Support vector machine Dimension reduction Loss function Non-negative matrix factorization Principal component analysis Statistics Machine learning Multivariate statistics
684	arXiv:0709.0674v1 [cs.AI] 5 Sep[removed]Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity∗ J¨urgen Schmidhuber Add to Reading List Source URL: www.idsia.ch Language: English - Date: 2007-12-10 08:15:14 Formal sciences Cybernetics Machine learning Computability theory Aesthetics Data compression Compressor Kolmogorov complexity Unsupervised learning Applied mathematics Mathematics Theoretical computer science
685	No-regret Algorithms for Online Convex Programs Geoffrey J. Gordon Department of Machine Learning Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-01-16 13:50:50 Convex analysis Operations research Convex function Convex optimization Function Boosting Algorithm Empirical risk minimization Mathematical optimization Mathematics Mathematical analysis
686	An Accelerated Gradient Method for Distributed Multi-Agent Planning with Factored MDPs Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-11-28 10:53:32 Convex optimization Operations research Linear programming Gradient descent Duality Interior point method Lagrangian relaxation Reinforcement learning Markov decision process Mathematical optimization Numerical analysis Mathematical analysis
687	A Bayesian Matrix Model for Relational Data Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-12-01 11:19:09 Statistical theory Markov chain Monte Carlo Multivariate statistics Conjugate prior Metropolis–Hastings algorithm Maximum likelihood Bayesian inference Generalized linear model Gibbs sampling Statistics Bayesian statistics Estimation theory
688	COMPLEXITY IN COOPERATIVE GAME THEORY J. M. Bilbao1 , J. R. Fernández2 and J. J. López3 Matemática Aplicada II, Escuela Superior de Ingenieros Camino de los Descubrimientos s/n, 41092 Sevilla, Spain http://www.esi.us Add to Reading List Source URL: www.esi2.us.es Language: English - Date: 2004-03-02 07:07:34 Complexity classes Matroid theory SL Matroid Combinatorial optimization Oracle machine IP Cooperative game Time complexity Theoretical computer science Computational complexity theory Applied mathematics
689	Relational Learning via Collective Matrix Factorization Ajit P. Singh Geoffrey J. Gordon Machine Learning Department Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2008-06-18 21:40:47 Matrix theory Multivariate statistics Numerical linear algebra Singular value decomposition Non-negative matrix factorization Matrix Eigenvalues and eigenvectors Symmetric matrix Principal component analysis Algebra Linear algebra Mathematics
690	A Spectral Learning Approach to Range-Only SLAM Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213 Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-05-05 14:45:54 Numerical linear algebra Functional analysis Matrix theory Singular value decomposition Robotic mapping Simultaneous localization and mapping Robot Rank Algebra Mathematics Linear algebra

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