Sciweavers

764 search results - page 25 / 153
» Maximum-Margin Matrix Factorization
Sort
View
ICML
2008
IEEE
14 years 10 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
ICDM
2009
IEEE
202views Data Mining» more  ICDM 2009»
13 years 7 months ago
Link Prediction on Evolving Data Using Matrix and Tensor Factorizations
Abstract--The data in many disciplines such as social networks, web analysis, etc. is link-based, and the link structure can be exploited for many different data mining tasks. In t...
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda
CIKM
2008
Springer
13 years 11 months ago
SoRec: social recommendation using probabilistic matrix factorization
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
ICASSP
2008
IEEE
14 years 4 months ago
Harmonic and inharmonic Nonnegative Matrix Factorization for Polyphonic Pitch transcription
Polyphonic pitch transcription consists of estimating the onset time, duration and pitch of each note in a music signal. This task is difficult in general, due to the wide range ...
Emmanuel Vincent, Nancy Bertin, Roland Badeau
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 4 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan