702 search results - page 43 / 141 » Learning Probabilistic Models of Relational Structure |
107
Voted
GECCO
2009
Springer
15 years 5 months ago
2009
Springer
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
108
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ML
2006
ACM
15 years 13 days ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
87
Voted
CSL
2010
Springer
15 years 17 days ago
2010
Springer
We study probabilistic complexity classes and questions of derandomisation from a logical point of view. For each logic L we introduce a new logic BPL, bounded error probabilistic ...
128
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BMCBI
2010
15 years 18 days ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
96
Voted
AAAI
2008
15 years 2 months ago
2008
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...