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» Inference and Learning in Planning
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148
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CEC
2007
IEEE
16 years 13 days ago
Bayesian inference in estimation of distribution algorithms
— Metaheuristics such as Estimation of Distribution Algorithms and the Cross-Entropy method use probabilistic modelling and inference to generate candidate solutions in optimizat...
Marcus Gallagher, Ian Wood, Jonathan M. Keith, Geo...
164
Voted
AUSAI
2004
Springer
15 years 11 months ago
MML Inference of Oblique Decision Trees
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
Peter J. Tan, David L. Dowe
ECTEL
2008
Springer
15 years 7 months ago
e-Learning in Higher Education: Searching for a Model of Curriculum Analysis
The main purpose behind the design of this experience is the idea of obtaining useful information to know how the online courses in our University have been developed, and trying t...
Linda J. Castaneda
JAIR
2006
137views more  JAIR 2006»
15 years 6 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
154
Voted
SPATIALCOGNITION
2000
Springer
15 years 9 months ago
Inference and Visualization of Spatial Relations
We present an approach to spatial inference which is based on the procedural semantics of spatial relations. In contrast to qualitative reasoning, we do not use discrete symbolic m...
Sylvia Wiebrock, Lars Wittenburg, Ute Schmid, Frit...