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» An Introduction to Probabilistic Automata
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STOC
2007
ACM
132views Algorithms» more  STOC 2007»
14 years 8 months ago
On the convergence of Newton's method for monotone systems of polynomial equations
Monotone systems of polynomial equations (MSPEs) are systems of fixed-point equations X1 = f1(X1, . . . , Xn), . . . , Xn = fn(X1, . . . , Xn) where each fi is a polynomial with p...
Stefan Kiefer, Michael Luttenberger, Javier Esparz...
COLT
2006
Springer
13 years 11 months ago
Learning Rational Stochastic Languages
Given a finite set of words w1, . . . , wn independently drawn according to a fixed unknown distribution law P called a stochastic language, an usual goal in Grammatical Inference ...
François Denis, Yann Esposito, Amaury Habra...
CORR
2008
Springer
143views Education» more  CORR 2008»
13 years 7 months ago
Convergence Thresholds of Newton's Method for Monotone Polynomial Equations
Abstract. Monotone systems of polynomial equations (MSPEs) are systems of fixedpoint equations X1 = f1(X1, . . . , Xn), . . . , Xn = fn(X1, . . . , Xn) where each fi is a polynomia...
Javier Esparza, Stefan Kiefer, Michael Luttenberge...
CONCUR
2007
Springer
14 years 1 months ago
Making Random Choices Invisible to the Scheduler
Abstract. When dealing with process calculi and automata which express both nondeterministic and probabilistic behavior, it is customary to introduce the notion of scheduler to res...
Konstantinos Chatzikokolakis, Catuscia Palamidessi
ENTCS
2008
146views more  ENTCS 2008»
13 years 7 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith