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» MUSETTE: a framework for knowledge capture from experience
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UAI
2007
14 years 10 months ago
User-Centered Methods for Rapid Creation and Validation of Bayesian Belief Networks
Bayesian networks (BN) are particularly well suited to capturing vague and uncertain knowledge. However, the capture of this knowledge and associated reasoning from human domain e...
Jonathan D. Pfautz, Zach Cox, Geoffrey Catto, Davi...
CICLING
2004
Springer
15 years 1 months ago
Extracting Domain Knowledge for Dialogue Model Adaptation
Domain shift is a challenging issue in dialogue management. This paper shows how to extract domain knowledge for dialogue model adaptation. The basic semantic concepts are derived ...
Kuei-Kuang Lin, Hsin-Hsi Chen
BMCBI
2011
14 years 1 months ago
Computable visually observed phenotype ontological framework for plants
Background: The ability to search for and precisely compare similar phenotypic appearances within and across species has vast potential in plant science and genetic research. The ...
Jaturon Harnsomburana, Jason M. Green, Adrian S. B...
EMMCVPR
2011
Springer
13 years 9 months ago
Curvature Regularization for Curves and Surfaces in a Global Optimization Framework
Length and area regularization are commonplace for inverse problems today. It has however turned out to be much more difficult to incorporate a curvature prior. In this paper we pr...
Petter Strandmark, Fredrik Kahl
AAAI
1998
14 years 11 months ago
A Script-Based Approach to Modifying Knowledge-Based Systems
Modifyingknowledge-based systems is a complexactivity. One of its di culties is that several related portions of the system might have to be changed in order to maintain the coher...
Marcelo Tallis