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CLIMA
2010
14 years 11 months ago
Finding Uniform Strategies for Multi-agent Systems
We present an algorithm for finding uniform strategies in multi-agent systems with incomplete information. The algorithm finds all maximal uniform strategies for agents with incomp...
Jan Calta, Dmitry Shkatov, Bernd-Holger Schlinglof...

Book
250views
16 years 7 months ago
Algorithmic Information Theory
"The aim of this book is to present the strongest possible version of G¨odel's incompleteness theorem, using an information-theoretic approach based on the size of com...
G J Chaitin
90
Voted
ICPR
2006
IEEE
15 years 10 months ago
Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
Duy-Dinh Le, Shin'ichi Satoh
76
Voted
IPM
2008
114views more  IPM 2008»
14 years 9 months ago
Evaluating epistemic uncertainty under incomplete assessments
The thesis of this study is to propose an extended methodology for laboratory based Information Retrieval evaluation under incomplete relevance assessments. This new methodology a...
Mark Baillie, Leif Azzopardi, Ian Ruthven
PRL
2007
138views more  PRL 2007»
14 years 9 months ago
Ent-Boost: Boosting using entropy measures for robust object detection
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
Duy-Dinh Le, Shin'ichi Satoh