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» Approximate Expectation Maximization
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AIPS
2006
15 years 26 days ago
Probabilistic Planning with Nonlinear Utility Functions
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
Yaxin Liu, Sven Koenig
RSA
2002
87views more  RSA 2002»
14 years 11 months ago
Inexpensive d-dimensional matchings
: Suppose that independent U 0 1 weights are assigned to the d 2 n2 edges of the complete d-partite graph with n vertices in each of the d = maximal independent sets. Then the expe...
Bae-Shi Huang, Ljubomir Perkovic, Eric Schmutz
127
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EMNLP
2010
14 years 9 months ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian
IOR
2006
163views more  IOR 2006»
14 years 11 months ago
Adaptive Importance Sampling Technique for Markov Chains Using Stochastic Approximation
For a discrete-time finite-state Markov chain, we develop an adaptive importance sampling scheme to estimate the expected total cost before hitting a set of terminal states. This s...
T. P. I. Ahamed, Vivek S. Borkar, S. Juneja
JANCL
2002
121views more  JANCL 2002»
14 years 11 months ago
Approximate coherence-based reasoning
ABSTRACT. It has long been recognized that the concept of inconsistency is a central part of commonsense reasoning. In this issue, a number of authors have explored the idea of rea...
Frédéric Koriche