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» Objective Bayesian Nets
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111
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PPDP
2004
Springer
15 years 7 months ago
Model checking object petri nets in prolog
Object Petri nets (OPNs) provide a natural and modular method for modelling many real-world systems. We give a structure-preserving translation of OPNs to Prolog by encoding the O...
Berndt Farwer, Michael Leuschel
108
Voted
AAAI
2006
15 years 3 months ago
Bayesian Network Based Reparameterization of Haar-like Feature
Object detection using Haar-like features is formulated as a maximum likelihood estimation. Object features are described by an arbitrary Bayesian Network (BN) of Haar-like featur...
Hirotaka Niitsuma
ICML
2000
IEEE
16 years 2 months ago
Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets
We introduce an expandable Bayesian network (EBN) to handle the combination of diverse multiple homogeneous evidence sets. An EBN is an augmented Bayesian network which instantiat...
Zu Whan Kim, Ramakant Nevatia
NIPS
2003
15 years 3 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...
101
Voted
VLDB
2001
ACM
139views Database» more  VLDB 2001»
15 years 6 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...