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» Probabilistic Abstraction Hierarchies
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80
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ECML
2006
Springer
15 years 1 months ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
CAV
2008
Springer
110views Hardware» more  CAV 2008»
15 years 7 days ago
Probabilistic CEGAR
Counterexample-guided abstraction refinement (CEGAR) has been en vogue for the automatic verification of very large systems in the past years. When trying to apply CEGAR to the ver...
Holger Hermanns, Björn Wachter, Lijun Zhang
177
Voted

Book
411views
16 years 8 months ago
Concrete Abstractions
"This book has evolved from materials used in an undergraduate course intended for final year undergraduate students whose background includes at least one year's experie...
Max Hailperin, Barbara Kaiser, and Karl Knight
81
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ML
2008
ACM
150views Machine Learning» more  ML 2008»
14 years 10 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
91
Voted
VIS
2009
IEEE
246views Visualization» more  VIS 2009»
15 years 11 months ago
Supercubes: A High-Level Primitive for Diamond Hierarchies
Abstract-- Volumetric datasets are often modeled using a multiresolution approach based on a nested decomposition of the domain into a polyhedral mesh. Nested tetrahedral meshes ge...
Kenneth Weiss, Leila De Floriani