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» Computing Minimal Diagnoses with Critical Set Algorithms
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ATAL
2008
Springer
14 years 12 months ago
Sequential decision making in repeated coalition formation under uncertainty
The problem of coalition formation when agents are uncertain about the types or capabilities of their potential partners is a critical one. In [3] a Bayesian reinforcement learnin...
Georgios Chalkiadakis, Craig Boutilier
APPROX
2009
Springer
105views Algorithms» more  APPROX 2009»
14 years 7 months ago
Real-Time Message Routing and Scheduling
Abstract. Exchanging messages between nodes of a network (e.g., embedded computers) is a fundamental issue in real-time systems involving critical routing and scheduling decisions....
Ronald Koch, Britta Peis, Martin Skutella, Andreas...
CVPR
2001
IEEE
15 years 12 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones
CVPR
2006
IEEE
15 years 3 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
NDSS
2009
IEEE
15 years 4 months ago
Coordinated Scan Detection
Coordinated attacks, where the tasks involved in an attack are distributed amongst multiple sources, can be used by an adversary to obfuscate his incursion. In this paper we prese...
Carrie Gates