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UAI
2008
13 years 9 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
ESANN
2006
13 years 9 months ago
A Cyclostationary Neural Network model for the prediction of the NO2 concentration
Air pollution control is a major environmental concern. The quality of air is an important factor for everyday life in cities, since it affects the health of the community and dire...
Monica Bianchini, Ernesto Di Iorio, Marco Maggini,...
TREC
2003
13 years 9 months ago
AnswerFinder in TREC 2003
In this our first participation in TREC we have focused on the passage task of the question answering track. The main aim of our participation was to test the impact of various t...
Diego Mollá Aliod
ICASSP
2010
IEEE
13 years 7 months ago
Learning deep rhetorical structure for extractive speech summarization
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
Justin Jian Zhang, Pascale Fung
CORR
2008
Springer
81views Education» more  CORR 2008»
13 years 7 months ago
Effect of Tuned Parameters on a LSA MCQ Answering Model
-- This paper presents the current state of a work in progress, whose objective is to better understand the effects of factors that significantly influence the performance of the L...
Alain Lifchitz, Sandra Jhean-Larose, Guy Denhi&egr...