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136
Voted
AAAI
2011
14 years 3 months ago
2011
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
142
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APN
2008
Springer
15 years 5 months ago
2008
Springer
Model checking is a powerful and widespread technique for the verification of finite distributed systems. However, the main hindrance for wider application of this technique is the...
132
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AAAI
2006
15 years 5 months ago
2006
We present a new algorithm, called incremental least squares policy iteration (ILSPI), for finding the infinite-horizon stationary policy for partially observable Markov decision ...
149
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AAAI
2006
15 years 5 months ago
2006
Partially observable Markov decision processes (POMDPs) are an intuitive and general way to model sequential decision making problems under uncertainty. Unfortunately, even approx...
106
Voted
CP
1998
Springer
15 years 8 months ago
1998
Springer
Abstract. This paper takes a fresh look at the application of interval analysis to ordinary differential equations and studies how consistency techniques can help address the accur...