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AAAI
2006
15 years 8 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
208
Voted
SEMWEB
2010
Springer
15 years 5 months ago
Signal/Collect: Graph Algorithms for the (Semantic) Web
The Semantic Web graph is growing at an incredible pace, enabling opportunities to discover new knowledge by interlinking and analyzing previously unconnected data sets. This confr...
Philip Stutz, Abraham Bernstein, William Cohen
SOFSEM
2007
Springer
16 years 1 months ago
Games, Time, and Probability: Graph Models for System Design and Analysis
Digital technology is increasingly deployed in safety-critical situations. This calls for systematic design and verification methodologies that can cope with three major sources o...
Thomas A. Henzinger
ICML
2008
IEEE
16 years 8 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
138
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ERSHOV
2009
Springer
16 years 1 months ago
Invariants, Modularity, and Rights
Abstract. The quest for modular concurrency reasoning has led to recent proposals that extend program assertions to include not just knowledge about the state, but rights to access...
Ernie Cohen, Eyad Alkassar, Vladimir Boyarinov, Ma...