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CORR
2010
Springer
123views Education» more  CORR 2010»
13 years 9 months ago
Loop Formulas for Description Logic Programs
Description Logic Programs (dl-programs) proposed by Eiter et al. constitute an elegant yet powerful formalism for the integration of answer set programming with description logic...
Yisong Wang, Jia-Huai You, Li-Yan Yuan, Yi-Dong Sh...
CVIU
2008
75views more  CVIU 2008»
13 years 9 months ago
Performance characterization in computer vision: A guide to best practices
It is frequently remarked that designers of computer vision algorithms and systems cannot reliably predict how algorithms will respond to new problems. A variety of reasons have b...
Neil A. Thacker, Adrian F. Clark, John L. Barron, ...
EC
2008
103views ECommerce» more  EC 2008»
13 years 9 months ago
A Graphical Model for Evolutionary Optimization
We present a statistical model of empirical optimization that admits the creation of algorithms with explicit and intuitively defined desiderata. Because No Free Lunch theorems di...
Christopher K. Monson, Kevin D. Seppi
ALGORITHMICA
2006
84views more  ALGORITHMICA 2006»
13 years 9 months ago
Large Deviations for the Weighted Height of an Extended Class of Trees
We use large deviations to prove a general theorem on the asymptotic edge-weighted height Hn of a large class of random trees for which Hn c log n for some positive constant c. A...
Nicolas Broutin, Luc Devroye
AMAI
2006
Springer
13 years 9 months ago
Possibilistic uncertainty handling for answer set programming
In this work, we introduce a new framework able to deal with a reasoning that is at the same time non monotonic and uncertain. In order to take into account a certainty level assoc...
Pascal Nicolas, Laurent Garcia, Igor Stépha...