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97
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TACAS
2009
Springer
106views Algorithms» more  TACAS 2009»
15 years 9 months ago
Hierarchical Set Decision Diagrams and Regular Models
Abstract. This paper presents algorithms and data structures that exploit a compositional and hierarchical specification to enable more efficient symbolic modelchecking. We encod...
Yann Thierry-Mieg, Denis Poitrenaud, Alexandre Ham...
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
16 years 3 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010
116
Voted
IJCNN
2006
IEEE
15 years 8 months ago
Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks
Abstract— This paper presents the use of a newly created network structure known as a Self-Delaying Dynamic Network (SDN). The SDNs were created to process data which varies with...
Lewis Eric Hibell, Honghai Liu, David J. Brown
NIPS
2008
15 years 4 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
124
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CAV
2007
Springer
108views Hardware» more  CAV 2007»
15 years 8 months ago
Systematic Acceleration in Regular Model Checking
Abstract. Regular model checking is a form of symbolic model checking technique for systems whose states can be represented as finite words over a finite alphabet, where regular ...
Bengt Jonsson, Mayank Saksena