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» The Complexity of Valued Constraint Models
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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 5 days ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
SC
2004
ACM
15 years 7 months ago
Language and Compiler Support for Adaptive Applications
There exist many application classes for which the users have significant flexibility in the quality of output they desire. At the same time, there are other constraints, such a...
Wei Du, Gagan Agrawal
COLING
2010
14 years 8 months ago
An Efficient Shift-Reduce Decoding Algorithm for Phrased-Based Machine Translation
In statistical machine translation, decoding without any reordering constraint is an NP-hard problem. Inversion Transduction Grammars (ITGs) exploit linguistic structure and can w...
Yang Feng, Haitao Mi, Yang Liu, Qun Liu
GPCE
2008
Springer
15 years 2 months ago
Property models: from incidental algorithms to reusable components
A user interface, such as a dialog, assists a user in synthesising a set of values, typically parameters for a command object. Code for “command parameter synthesis” is usuall...
Jaakko Järvi, Mat Marcus, Sean Parent, John F...
CRYPTO
2001
Springer
95views Cryptology» more  CRYPTO 2001»
15 years 6 months ago
Robustness for Free in Unconditional Multi-party Computation
We present a very efficient multi-party computation protocol unconditionally secure against an active adversary. The security is maximal, i.e., active corruption of up to t < n/...
Martin Hirt, Ueli M. Maurer