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» Selectivity Estimation using Probabilistic Models
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COLT
2006
Springer
15 years 10 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 6 months ago
Scalable pseudo-likelihood estimation in hybrid random fields
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
Antonino Freno, Edmondo Trentin, Marco Gori
CI
2004
116views more  CI 2004»
15 years 6 months ago
Solution Generation with Qualitative Models of Preferences
We consider automated decision aids that help users select the best solution from a large set of options. For such tools to successfully accomplish their task, eliciting and repre...
Boi Faltings, Marc Torrens, Pearl Pu
JMLR
2010
93views more  JMLR 2010»
15 years 1 months ago
Distinguishing between cause and effect
We propose a novel method for inferring whether X causes Y or vice versa from joint observations of X and Y . The basic idea is to model the observed data using probabilistic late...
Joris M. Mooij, Dominik Janzing
AROBOTS
2002
138views more  AROBOTS 2002»
15 years 6 months ago
Visual Navigation in Natural Environments: From Range and Color Data to a Landmark-Based Model
This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video color camera and a stereo-vision system. We focus on the interest of such ...
Rafael Murrieta-Cid, Carlos Parra, Michel Devy