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» Complexity Parameters for First-Order Classes
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GECCO
2005
Springer
14 years 7 days ago
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm
Mobile ad hoc networks are typically designed and evaluated in generic simulation environments. However the real conditions in which these networks are deployed can be quite diff...
David J. Montana, Jason Redi
ICASSP
2010
IEEE
13 years 6 months ago
Robust regression using sparse learning for high dimensional parameter estimation problems
Algorithms such as Least Median of Squares (LMedS) and Random Sample Consensus (RANSAC) have been very successful for low-dimensional robust regression problems. However, the comb...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
ICALP
2003
Springer
13 years 12 months ago
Fixed-Parameter Algorithms for the (k, r)-Center in Planar Graphs and Map Graphs
The (k, r)-center problem asks whether an input graph G has ≤ k vertices (called centers) such that every vertex of G is within distance ≤ r from some center. In this paper we ...
Erik D. Demaine, Fedor V. Fomin, Mohammad Taghi Ha...
CORR
2011
Springer
174views Education» more  CORR 2011»
12 years 10 months ago
Parameter Learning of Logic Programs for Symbolic-Statistical Modeling
We propose a logical/mathematical framework for statistical parameter learning of parameterized logic programs, i.e. de nite clause programs containing probabilistic facts with a ...
Yoshitaka Kameya, Taisuke Sato
APAL
2007
131views more  APAL 2007»
13 years 6 months ago
Bounded fixed-parameter tractability and reducibility
We study a refined framwork of parameterized complexity theory where the parameter dependendence of fixed-parameter tractable algorithms is not arbitrary, but restricted by a fu...
Rod Downey, Jörg Flum, Martin Grohe, Mark Wey...