1760 search results - page 151 / 352 » Learning from Partial Observations |
113
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ECML
1993
Springer
15 years 8 months ago
1993
Springer
This paper addresses the problem of classifying observations when features are context-sensitive, specifically when the testing set involves a context that is different from the t...
143
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AUSAI
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
182
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FLAIRS
2008
15 years 6 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
128
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AAAI
2010
15 years 5 months ago
2010
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
130
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CLIMA
2004
15 years 5 months ago
2004
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...