Seminários
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Learning to Rank With Bregman Divergences and Monotone Retargeting.
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Unmixing of Hyperspectral Images using Bayesian Nonnegative Matrix Factorization with Volume Prior.
Morten Arngren · Mikkel N. Schmidt · Jan Larsen
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Enforcing Harmonicity and Smoothness in Bayesian Non-negative Matrix Factorization Applied to Polyphonic Music Transcription.
Nancy Bertin*, Roland Badeau, Member, IEEE and Emmanuel Vincent, Member, IEEE
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Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization.
Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft
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Algorithms for W eighted Non-Negative Matrix Factorization.
Vincent Blondel, Ngoc-Diep Ho - and Paul V an Dooren.
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Factor Modeling for Advertisement Targeting
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Latent Vector Weighting for Word Meaning in Context.
Tim Van de Cruys, Thierry Poibeau, Anna Korhonen
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Efficient Personalized PageRank with Accuracy Assurance.
Yasuhiro Fujiwara, Makoto Nakatsuji, Takeshi Yamamuro, Hiroaki Shiokawa†, Makoto Onizuka
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A Generalization of the Eckart-Young-Mirsky Matrix Approximation Theorem.
G. H. Golub, Makoto Nakatsuji,Alan Hoffman, G. W. Stewart
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A Nonparametric Bayesian Poisson Gamma Model for Count Data.
Sunil Kumar Gupta, Dinh Phung and Svetha Venkatesh
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Handbook of Linear Algebra.
Kenneth H. Rosen, Ph.D
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Independent Component Analysis.
Aapo Hyvarinen, Juha Karhunen, and Erkki Oja
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Bayesian Factor Modeling for Interest-Based Advertising with Count Data.
Alvin Kaule
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Matrix Factorization Techniques for recommender Systems.
Yehuda Koren, Yahoo Research - Robert Bell and Chris Volinsky, AT&T Labs—Research
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Information Retrieval and Web Search.
Amy N. Langville - The College of Charleston, Carl D. Meyer - North Carolina State University
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A Survey of Eigenvector Methods for Web Information Retrieval.
AMY N. LANGVILLE AND CARL D. MEYER
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Fast Bregman Divergence NMF using Taylor Expansion and Coordinate Descent.
Liangda Li, Guy Lebanon, Haesun Park, GA 30032
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Recommender Systems.
Prem Melville and Vikas Sindhwani , IBM T.J. Watson Research Center
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Bayesian Exponential Family PCA.
Shakir Mohamed, Katherine Heller, Zoubin Ghahramani - Department of Engineering, University of Cambridge Cambridge, CB2 1PZ, UK
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Bayesian and L1 Approaches for Sparse Unsupervised Learning.
Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
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Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures.
Ian Porteous and Arthur Asuncion and Max Welling - Bren School of Information and Computer Science University of California Irvine Irvine, CA 92697
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Extensions of Non-negative Matrix Factorization and their Application to the Analysis of Wafer Test Data.
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Bayesian non-negative matrix factorization.
Mikkel N. Schmidt, Ole Winther, and Lars Kai Hansen
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Algorithms for Non-negative Matrix Factorization.
Daniel D. Lee, H. Sebastian Seung
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Non-negative Multiple Matrix Factorization.
Koh Takeuchi, Katsuhiko Ishiguro, Akisato Kimura, and Hiroshi Sawada - NTT Communication Science Laboratories
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Bayesian Extensions to Non-Negative Matrix Factorisation for Audio signal Modelling.
Tuomas Virtanen, A. Taylan Cemgil - University of Cambridge
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Stochastic analysis of web page ranking.
Yana Volkovich
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Personalized Recommendations of Locally Interesting Venues to Tourists via Cross Region Community Matching.
Yi-Liang Zhao, Liqiang Nie,Xiangyu Wang, Tat-Seng Chua - National University of Singapore
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NIMFA : A Python Library for Nonnegative Matrix Factorization
Marinka Zitnik Blaz Zupan - Faculty of Computer and Information Science University of Ljubljana