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ML
2002
ACM
146views Machine Learning» more  ML 2002»
15 years 6 months ago
Variable Resolution Discretization in Optimal Control
Abstract. The problemof state abstractionis of centralimportancein optimalcontrol,reinforcement learning and Markov decision processes. This paper studies the case of variable reso...
Rémi Munos, Andrew W. Moore
ML
2008
ACM
174views Machine Learning» more  ML 2008»
15 years 6 months ago
ALLPAD: approximate learning of logic programs with annotated disjunctions
In this paper we present the system ALLPAD for learning Logic Programs with Annotated Disjunctions (LPADs). ALLPAD modifies the previous system LLPAD in order to tackle real world ...
Fabrizio Riguzzi
INTEGRATION
2010
172views more  INTEGRATION 2010»
15 years 5 months ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
DAC
2007
ACM
16 years 7 months ago
TROY: Track Router with Yield-driven Wire Planning
In this paper, we propose TROY, the first track router with yield-driven wire planning to optimize yield loss due to random defects. As the probability of failure (POF) computed f...
Minsik Cho, Hua Xiang, Ruchir Puri, David Z. Pan
SAC
2009
ACM
16 years 1 months ago
Exploiting weak dependencies in tree-based search
In this work, our objective is to heuristically discover a simplified form of functional dependencies between variables called weak dependencies. Once discovered, these relations...
Alejandro Arbelaez, Youssef Hamadi