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MOC
2002
70views more  MOC 2002»
15 years 6 months ago
Solving norm equations in relative number fields using S-units
Abstract. In this paper, we are interested in solving the so-called norm equation NL/K(x) = a, where L/K is a given arbitrary extension of number fields and a a given algebraic num...
Denis Simon
ML
1998
ACM
113views Machine Learning» more  ML 1998»
15 years 6 months ago
Machine Learning for the Detection of Oil Spills in Satellite Radar Images
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...
Miroslav Kubat, Robert C. Holte, Stan Matwin
IJAR
2010
152views more  IJAR 2010»
15 years 5 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
FSTTCS
2010
Springer
15 years 4 months ago
Average Analysis of Glushkov Automata under a BST-Like Model
We study the average number of transitions in Glushkov automata built from random regular expressions. This statistic highly depends on the probabilistic distribution set on the e...
Cyril Nicaud, Carine Pivoteau, Benoît Razet
JMLR
2011
142views more  JMLR 2011»
15 years 1 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...