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ICML
2008
IEEE
16 years 3 months ago
Discriminative parameter learning for Bayesian networks
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...
Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwi...
GBRPR
2009
Springer
15 years 9 months ago
Annotated Contraction Kernels for Interactive Image Segmentation
This article shows how the interactive segmentation tool termed “Active Paintbrush” and a fully automatic region merging can both be based on the theoretical framework of contr...
Hans Meine
CIKM
2005
Springer
15 years 8 months ago
A robot ontology for urban search and rescue
The goal of this Robot Ontology effort is to develop and begin to populate a neutral knowledge representation (the data structures) capturing relevant information about robots and...
Craig Schlenoff, Elena Messina
ESORICS
2005
Springer
15 years 8 months ago
On Scalability and Modularisation in the Modelling of Network Security Systems
Abstract. As the use of computers and data communication technologies spreads, network security systems are becoming increasingly complex, due to the incorporation of a variety of ...
João Porto de Albuquerque, Heiko Krumm, Pau...
CSB
2003
IEEE
111views Bioinformatics» more  CSB 2003»
15 years 7 months ago
A Contradiction-Based Framework for Testing Gene Regulation Hypotheses
We have developed a mathematical framework for representing and testing hypotheses about gene, protein, and signaling molecule interactions. It takes a hierarchical, contradiction...
Steve Racunas, Nigam Shah, Nina V. Fedoroff