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PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 5 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
DEDS
2006
111views more  DEDS 2006»
13 years 7 months ago
Model Checking of Time Petri Nets Using the State Class Timed Automaton
In this paper, we propose a method for building the state class graph of a bounded time Petri net (TPN) as a timed automaton (TA), which we call the state class timed automaton. We...
Didier Lime, Olivier H. Roux
RP
2009
Springer
136views Control Systems» more  RP 2009»
14 years 2 months ago
Probabilistic Model Checking of Biological Systems with Uncertain Kinetic Rates
We present an abstraction of the probabilistic semantics of Multiset Rewriting to formally express systems of reactions with uncertain kinetic rates. This allows biological systems...
Roberto Barbuti, Francesca Levi, Paolo Milazzo, Gu...
MEMOCODE
2003
IEEE
14 years 29 days ago
Methods for exploiting SAT solvers in unbounded model checking
— Modern SAT solvers have proved highly successful in finding counterexamples to temporal properties of systems, using a method known as ”bounded model checking”. It is natu...
Kenneth L. McMillan
FORMATS
2007
Springer
14 years 1 months ago
Hypervolume Approximation in Timed Automata Model Checking
Dierence Bound Matrices (DBMs) are the most commonly used data structure for model checking timed automata. Since long they are being used in successful tools like Kronos or UPPAA...
Víctor A. Braberman, Jorge Lucángeli...