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PKDD
2010
Springer
160views Data Mining» more  PKDD 2010»
15 years 5 months ago
Entropy and Margin Maximization for Structured Output Learning
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhm...
ICA
2010
Springer
15 years 4 months ago
Blind Extraction of Intermittent Sources
In this work, we tackle the problem of blind extraction of intermittent sources. Our approach is based on the generalized eigenvector decomposition of covariance matrices and exten...
Bertrand Rivet, Leonardo Tomazeli Duarte, Christia...
EMSOFT
2010
Springer
15 years 4 months ago
Components, platforms and possibilities: towards generic automation for MDA
Model-driven architecture (MDA) is a model-based approach for engineering complex software systems. MDA is particularly attractive for designing embedded systems because models ca...
Ethan K. Jackson, Eunsuk Kang, Markus Dahlweid, Di...
JMLR
2010
179views more  JMLR 2010»
15 years 1 months ago
PAC-Bayesian Analysis of Co-clustering and Beyond
We derive PAC-Bayesian generalization bounds for supervised and unsupervised learning models based on clustering, such as co-clustering, matrix tri-factorization, graphical models...
Yevgeny Seldin, Naftali Tishby
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 9 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park