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» Preprocessing of Intractable Problems
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FLAIRS
2009
13 years 8 months ago
Dynamic Programming Approximations for Partially Observable Stochastic Games
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
Akshat Kumar, Shlomo Zilberstein
COLING
2010
13 years 5 months ago
Fast, Greedy Model Minimization for Unsupervised Tagging
Model minimization has been shown to work well for the task of unsupervised part-of-speech tagging with a dictionary. In (Ravi and Knight, 2009), the authors invoke an integer pro...
Sujith Ravi, Ashish Vaswani, Kevin Knight, David C...
TCBB
2011
13 years 5 months ago
Semi-Markov Models for Brownian Dynamics Permeation in Biological Ion Channels
—Constructing accurate computational models that explain how ions permeate through a biological ion channel is an important problem in biophysics and drug design. Brownian dynami...
Vikram Krishnamurthy, Kai Yiu Luk
IJNSEC
2010
73views more  IJNSEC 2010»
13 years 5 months ago
Provable Partial Key Escrow
In this paper we first propose two new concepts concerning the notion of key escrow schemes: provable partiality and independence. Roughly speaking, a scheme has provable partiali...
Kooshiar Azimian, Javad Mohajeri, Mahmoud Salmasiz...
JMLR
2010
123views more  JMLR 2010»
13 years 5 months ago
Inductive Principles for Restricted Boltzmann Machine Learning
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...