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ECIR
2006
Springer
13 years 9 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
WCE
2007
13 years 8 months ago
A mathematical review of the generalized entropies and their matrix trace inequalities
Abstract– We review the properties of the generalized entropies in our previous papers in the following way. (1)A generalized Fannes’ inequality is shown by the axiomatically c...
Shigeru Furuichi
ML
2008
ACM
146views Machine Learning» more  ML 2008»
13 years 7 months ago
Improving maximum margin matrix factorization
Abstract. Collaborative filtering is a popular method for personalizing product recommendations. Maximum Margin Matrix Factorization (MMMF) has been proposed as one successful lear...
Markus Weimer, Alexandros Karatzoglou, Alex J. Smo...
CDC
2009
IEEE
285views Control Systems» more  CDC 2009»
13 years 5 months ago
Adaptive randomized algorithm for finding eigenvector of stochastic matrix with application to PageRank
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...
Alexander V. Nazin, Boris T. Polyak
IDA
2009
Springer
14 years 2 months ago
Bayesian Non-negative Matrix Factorization
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen