338 search results - page 19 / 68 » On the Complexity of Termination Inference for Processes |
AIEDU
2007
14 years 9 months ago
2007
Opening a model of the learner is a potentially complex operation. There are many aspects of the learner that can be modelled, and many of these aspects may need to be opened in di...
123
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ECAI
2004
Springer
15 years 3 months ago
2004
Springer
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
CIBCB
2005
IEEE
15 years 3 months ago
2005
IEEE
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
122
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UAI
1997
14 years 11 months ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
100
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BIOCOMP
2008
14 years 11 months ago
2008
Background: Inferring a gene regulatory network (GRN) from high throughput biological data is often an under-determined problem and is a challenging task due to the following reas...