19 search results - page 2 / 4 » Implicit Regularization in Variational Bayesian Matrix Facto... |
AAAI
2010
13 years 6 months ago
2010
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
BIBE
2008
IEEE
13 years 12 months ago
2008
IEEE
— The aim of this work is to propose a new approach for the determination of the design matrix in fMRI experiments. The design matrix embodies all available knowledge about exper...
CSDA
2011
13 years 11 days ago
2011
Reduced-rank decompositions provide descriptions of the variation among the elements of a matrix or array. In such decompositions, the elements of an array are expressed as produc...
PAKDD
2009
ACM
14 years 4 days ago
2009
ACM
Abstract. We propose a new approach to modeling time-varying relational data such as e-mail transactions based on a dynamic extension of matrix factorization. To estimate effectiv...