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NIPS
2008
13 years 8 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
EDBT
2012
ACM
257views Database» more  EDBT 2012»
11 years 9 months ago
Indexing and mining topological patterns for drug discovery
Increased availability of large repositories of chemical compounds has created new challenges and opportunities for the application of data-mining and indexing techniques to probl...
Sayan Ranu, Ambuj K. Singh
INFORMS
1998
150views more  INFORMS 1998»
13 years 6 months ago
Branch and Infer: A Unifying Framework for Integer and Finite Domain Constraint Programming
constraint abstractions into integer programming, and to discuss possible combinations of the two approaches. Combinatorial problems are ubiquitous in many real world applications ...
Alexander Bockmayr, Thomas Kasper
VLSID
2008
IEEE
191views VLSI» more  VLSID 2008»
14 years 1 months ago
Programming and Performance Modelling of Automotive ECU Networks
The last decade has seen a phenomenal increase in the use of electronic components in automotive systems, resulting in the replacement of purely mechanical or hydraulic-implementa...
Samarjit Chakraborty, Sethu Ramesh
FOSSACS
2009
Springer
14 years 1 months ago
Facets of Synthesis: Revisiting Church's Problem
In this essay we discuss the origin, central results, and some perspectives of algorithmic synthesis of nonterminating reactive programs. We recall the fundamental questions raised...
Wolfgang Thomas