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» Learning Rule Representations from Boolean Data
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112
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ICCD
2003
IEEE
127views Hardware» more  ICCD 2003»
15 years 9 months ago
Structural Detection of Symmetries in Boolean Functions
Functional symmetries provide significant benefits for multiple tasks in synthesis and verification. Many applications require the manual specification of symmetries using spe...
Guoqiang Wang, Andreas Kuehlmann, Alberto L. Sangi...
93
Voted
CLIMA
2004
15 years 1 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis
SMA
2005
ACM
167views Solid Modeling» more  SMA 2005»
15 years 6 months ago
Boolean operations on 3D selective Nef complexes: optimized implementation and experiments
Nef polyhedra in d-dimensional space are the closure of half-spaces under boolean set operation. In consequence, they can represent non-manifold situations, open and closed sets, ...
Peter Hachenberger, Lutz Kettner
IV
2005
IEEE
101views Visualization» more  IV 2005»
15 years 6 months ago
Generation of Graphical Representations of Student Tracking Data in Course Management Systems
An approach of employing Information Visualisation to develop systems that facilitate instructors in web-based distance learning is presented here. The paper describes a tool, cal...
Riccardo Mazza, Vania Dimitrova
74
Voted
ATAL
2007
Springer
15 years 6 months ago
SMILE: Sound Multi-agent Incremental LEarning
This article deals with the problem of collaborative learning in a multi-agent system. Here each agent can update incrementally its beliefs B (the concept representation) so that ...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...