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ECWEB
2009
Springer
204views ECommerce» more  ECWEB 2009»
14 years 4 months ago
Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
Abstract. Alternating least squares (ALS) is a powerful matrix factorization (MF) algorithm for both implicit and explicit feedback based recommender systems. We show that by using...
István Pilászy, Domonkos Tikk
NIPS
2004
13 years 11 months ago
A Direct Formulation for Sparse PCA Using Semidefinite Programming
We examine the problem of approximating, in the Frobenius-norm sense, a positive, semidefinite symmetric matrix by a rank-one matrix, with an upper bound on the cardinality of its...
Alexandre d'Aspremont, Laurent El Ghaoui, Michael ...
APPML
2007
165views more  APPML 2007»
13 years 9 months ago
On the Iwasawa decomposition of a symplectic matrix
We consider the computation of the Iwasawa decomposition of a symplectic matrix via the QR factorization. The algorithms presented improve on the method recently decribed in [8]. K...
Michele Benzi, Nader Razouk
BMCBI
2010
153views more  BMCBI 2010»
13 years 9 months ago
Metamotifs - a generative model for building families of nucleotide position weight matrices
Background: Development of high-throughput methods for measuring DNA interactions of transcription factors together with computational advances in short motif inference algorithms...
Matias Piipari, Thomas A. Down, Tim J. P. Hubbard
ML
2006
ACM
121views Machine Learning» more  ML 2006»
13 years 9 months ago
Model-based transductive learning of the kernel matrix
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung