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» The Decision Diffie-Hellman Problem
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136
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CVPR
2005
IEEE
16 years 5 months ago
WaldBoost - Learning for Time Constrained Sequential Detection
: In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of...
Jan Sochman, Jiri Matas
125
Voted
ICML
2003
IEEE
16 years 4 months ago
The Cross Entropy Method for Fast Policy Search
We present a learning framework for Markovian decision processes that is based on optimization in the policy space. Instead of using relatively slow gradient-based optimization al...
Shie Mannor, Reuven Y. Rubinstein, Yohai Gat
132
Voted
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 4 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
94
Voted
CADE
2001
Springer
16 years 4 months ago
Hilberticus - A Tool Deciding an Elementary Sublanguage of Set Theory
We present a tool deciding a fragment of set theory. It is designed to be easily accessible via the internet and intuitively usable by anyone who is working with sets to describe a...
Jörg Lücke
107
Voted
PERCOM
2006
ACM
16 years 3 months ago
Introducing History-Enriched Security Context Transfer to Enhance the Security of Subsequent Handover
Many solutions for securing inter-provider handover proposed to date make use of the concept of security context transfer. However, none of these solutions addresses problems aris...
Ulrike Meyer, Susanne Wetzel