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ENTCS
2006
181views more  ENTCS 2006»
13 years 8 months ago
Conditional Doxastic Models: A Qualitative Approach to Dynamic Belief Revision
In this paper, we present a semantical approach to multi-agent belief revision and belief update. For this, we introduce relational structures called conditional doxastic models (...
Alexandru Baltag, Sonja Smets
ACL
1997
13 years 10 months ago
Hierarchical Non-Emitting Markov Models
We describe a simple variant of the interpolated Markov model with nonemitting state transitions and prove that it is strictly more powerful than any Markov model. More importantl...
Eric Sven Ristad, Robert G. Thomas
EUROCRYPT
2007
Springer
14 years 2 months ago
Conditional Computational Entropy, or Toward Separating Pseudoentropy from Compressibility
We study conditional computational entropy: the amount of randomness a distribution appears to have to a computationally bounded observer who is given some correlated information....
Chun-Yuan Hsiao, Chi-Jen Lu, Leonid Reyzin
AAAI
1996
13 years 10 months ago
Computing Optimal Policies for Partially Observable Decision Processes Using Compact Representations
: Partially-observable Markov decision processes provide a very general model for decision-theoretic planning problems, allowing the trade-offs between various courses of actions t...
Craig Boutilier, David Poole
MP
2011
12 years 11 months ago
Strong KKT conditions and weak sharp solutions in convex-composite optimization
Using variational analysis techniques, we study convex-composite optimization problems. In connection with such a problem, we introduce several new notions as variances of the clas...
Xi Yin Zheng, Kung Fu Ng