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ICML
1996
IEEE
16 years 4 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
HICSS
2008
IEEE
164views Biometrics» more  HICSS 2008»
15 years 10 months ago
Scaling Consensus: Increasing Decentralization in Wikipedia Governance
How does “self-governance” happen in Wikipedia? Through in-depth interviews with eleven individuals who have held a variety of responsibilities in the English Wikipedia, we ob...
Andrea Forte, Amy Bruckman
155
Voted
CMSB
2007
Springer
15 years 10 months ago
Context Sensitivity in Logical Modeling with Time Delays
For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...
Heike Siebert, Alexander Bockmayr
OTM
2005
Springer
15 years 9 months ago
Hybrid Model for Semantic Similarity Measurement
Expressive knowledge representations with flexible semantic similarity measures are central for the functioning of semantic information retrieval, information integration, matchmak...
Angela Schwering
163
Voted
COMPASS
1994
15 years 7 months ago
Equations for Describing Dynamic Nets of Communicating Systems
We give a notation and a logical calculus for the description and deductive manipulation of dynamic networks of communicating components. We represent such nets by hierarchical sys...
Manfred Broy