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» The Computational Complexity of Probabilistic Planning
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ICOM
2011
14 years 7 months ago
A Context-Aware Proactive Controller for Smart Environments
In this paper we describe an implicit user interface for smart environment control: We make our system guess how to assist the user(s) proactively. Our controller is based on two ...
Frank Krüger, Gernot Ruscher, Sebastian Bader...
COCO
2007
Springer
94views Algorithms» more  COCO 2007»
15 years 10 months ago
Low-Depth Witnesses are Easy to Find
Antunes, Fortnow, van Melkebeek and Vinodchandran captured the notion of non-random information by computational depth, the difference between the polynomialtime-bounded Kolmogoro...
Luis Antunes 0002, Lance Fortnow, Alexandre Pinto,...
BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
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ICTAI
2010
IEEE
15 years 2 months ago
Combining Mixed Integer Programming and Supervised Learning for Fast Re-planning
We introduce a new plan repair method for problems cast as Mixed Integer Programs. In order to tackle the inherent complexity of these NP-hard problems, our approach relies on the ...
Emmanuel Rachelson, Ala Ben Abbes, Sebastien Dieme...
EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
15 years 9 months ago
Tuning of Algorithms for Independent Task Placement in the Context of Demand-Driven Parallel Ray Tracing
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Tomas Plachetka