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Matrix factorization
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#	Item
71	Comparison of parallel preconditioners for a Newton-Krylov flow solver Jason E. Hicken, Michal Osusky, and David W. Zingg 1 Introduction Analysis of the results from the AIAA Drag Prediction workshops (Mavriplis et al, Add to Reading List Source URL: homepages.rpi.edu Language: English - Date: 2012-07-05 17:13:07 Numerical linear algebra Incomplete LU factorization Preconditioner Computational fluid dynamics Iterative method Lis NewtonKrylov method Schur complement Matrix Generalized minimal residual method SLEPc
72	Leveraging Social Context for Modeling Topic Evolution Janani Kalyanam Amin Mantrach Univ. of California, San Diego Add to Reading List Source URL: acsweb.ucsd.edu Language: English - Date: 2015-06-08 14:56:53 Statistical natural language processing Hashtag Latent Dirichlet allocation Topic model Dynamic topic model Twitter Probabilistic latent semantic analysis Deep learning Non-negative matrix factorization Topic and comment
73	COLUMN SUBSET SELECTION, MATRIX FACTORIZATION, AND EIGENVALUE OPTIMIZATION JOEL A. TROPP   Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2012-01-27 17:49:49 Linear algebra Matrix theory Numerical linear algebra Rank Matrix Singular value decomposition
74	Interactive Constrained Boolean Matrix Factorization Nelson Mukuze PauIi Miettinen Max-Planck-Institut für Informatik Add to Reading List Source URL: poloclub.gatech.edu Language: English - Date: 2016-07-22 15:05:21 Matrix theory Multivariate statistics Numerical linear algebra Matrix Factorization Algorithm Non-negative matrix factorization Principal component analysis
75	Browser-Oriented Universal Cross-Site Recommendation and Explanation based on User Browsing Logs Yongfeng Zhang Department of Computer Science and Technology Tsinghua University, Beijing, 100084, China Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-12-28 22:59:24 Recommender systems Humancomputer interaction Collective intelligence Collaboration Collaborative filtering Non-negative matrix factorization Personalization World Wide Web Session Item-item collaborative filtering Cold start
76	Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation Yongfeng Zhang State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsi Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-12-28 22:53:24 Recommender systems Collective intelligence Natural language processing Humancomputer interaction Collaborative filtering Cold start Non-negative matrix factorization User review Personalization Sentiment analysis Text mining Star
77	ASYMPTOTICALLY FAST POLYNOMIAL MATRIX ALGORITHMS FOR MULTIVARIABLE SYSTEMS Claude-Pierre Jeannerod and Gilles Villard ´ CNRS, INRIA, Laboratoire LIP, Ecole normale sup´erieure de Lyon Add to Reading List Source URL: perso.ens-lyon.fr Language: English - Date: 2006-04-03 09:17:35 Linear algebra Polynomials Matrix theory Matrices Algebra Matrix Frobenius normal form Factorization Polynomial Determinant Characteristic polynomial Kernel
78	SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao† , Pascal Poupart† , Yongfeng Zhang§ and Martin Lysy‡ † David R. Cheriton School of Computer Science, University of Waterloo, Canada D Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Multivariate statistics Linear algebra Matrix theory Non-negative matrix factorization Cluster analysis Spectral clustering K-means clustering Document clustering Pattern recognition Expectationmaximization algorithm Determining the number of clusters in a data set Hierarchical clustering
79	A General Collaborative Filtering Framework based on Matrix Bordered Block Diagonal Forms Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma State Key Laboratory of Intelligent Technology and Systems Department of Compute Add to Reading List Source URL: yongfeng.me Language: English - Date: 2015-03-02 08:17:50 Recommender systems Matrix theory Linear algebra Sparse matrices Multivariate statistics Non-negative matrix factorization Collaborative filtering GroupLens Research MovieLens Singular value decomposition Graph partition Matrix decomposition
80	LEARNING A FEATURE SPACE FOR SIMILARITY IN WORLD MUSIC Maria Panteli, Emmanouil Benetos, Simon Dixon Centre for Digital Music, Queen Mary University of London, United Kingdom {m.panteli, emmanouil.benetos, s.e.dixon}@qmu Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:29 Multivariate statistics Robust statistics Outlier K-nearest neighbors algorithm RANSAC Mahalanobis distance Non-negative matrix factorization Principal component analysis Linear discriminant analysis Music information retrieval Feature Data analysis

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