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» A Guided Monte Carlo Approach to Optimization Problems
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CP
2000
Springer
15 years 2 months ago
New Search Heuristics for Max-CSP
Abstract. This paper evaluates the power of a new scheme that generates search heuristics mechanically. This approach was presented and evaluated rst in the context of optimization...
Kalev Kask
JMLR
2008
159views more  JMLR 2008»
14 years 10 months ago
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies
When monitoring spatial phenomena, which can often be modeled as Gaussian processes (GPs), choosing sensor locations is a fundamental task. There are several common strategies to ...
Andreas Krause, Ajit Paul Singh, Carlos Guestrin
ATAL
2010
Springer
14 years 10 months ago
Incremental plan aggregation for generating policies in MDPs
Despite the recent advances in planning with MDPs, the problem of generating good policies is still hard. This paper describes a way to generate policies in MDPs by (1) determiniz...
Florent Teichteil-Königsbuch, Ugur Kuter, Gui...
VIS
2006
IEEE
117views Visualization» more  VIS 2006»
15 years 11 months ago
Transfer Function Fusing
Based on the observation that it is relatively easier for users to generate several good transfer functions (TFs) for different features of volumetric data, we propose TF fusing, ...
Yingcai Wu, Huamin Qu, Hong Zhou, Ming-Yuen Cha...
DSD
2005
IEEE
106views Hardware» more  DSD 2005»
15 years 3 months ago
Power-Constrained Hybrid BIST Test Scheduling in an Abort-on-First-Fail Test Environment
1 This paper presents a method for power-constrained system-on-chip test scheduling in an abort-on-first-fail environment where the test is terminated as soon as a fault is detecte...
Zhiyuan He, Gert Jervan, Zebo Peng, Petru Eles