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» Process modelling: the deontic way
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NIPS
2000
15 years 7 months ago
Explaining Away in Weight Space
Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...
Peter Dayan, Sham Kakade
NIPS
1997
15 years 7 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
DBKDA
2010
IEEE
219views Database» more  DBKDA 2010»
15 years 6 months ago
GN-DTD: Graphical Notations for Describing XML Documents
— This paper presents a graphical approach to model XML documents based on a Data Type Documentation called Graphical Notations-Data Type Documentation (GN-DTD). GN-DTD allows us...
Zurinahni Zainol, Bing Wang
JMLR
2002
78views more  JMLR 2002»
15 years 6 months ago
Shallow Parsing using Specialized HMMs
We present a unified technique to solve different shallow parsing tasks as a tagging problem using a Hidden Markov Model-based approach (HMM). This technique consists of the incor...
Antonio Molina, Ferran Pla
IVA
2010
Springer
15 years 4 months ago
Expression of Behaviors in Assistant Agents as Influences on Rational Execution of Plans
Assistant Agents help ordinary people about computer tasks, in many ways, thanks to their rational reasoning capabilities about the current model of the world. However they face st...
Jean-Paul Sansonnet, François Bouchet