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ICMLA
2007
13 years 9 months ago
Machine learned regression for abductive DNA sequencing
We construct machine learned regressors to predict the behaviour of DNA sequencing data from the fluorescent labelled Sanger method. These predictions are used to assess hypothes...
David Thornley, Maxim Zverev, Stavros Petridis
FAC
2002
66views more  FAC 2002»
13 years 7 months ago
Shallow Linear Action Graphs and their Embeddings
Action calculi, which generalise process calculi such as Petri nets, -calculus and ambient calculus, have been presented in terms of action graphs. We here offer linear action grap...
James J. Leifer, Robin Milner
SOFSEM
2010
Springer
13 years 5 months ago
Forcing Monotonicity in Parameterized Verification: From Multisets to Words
We present a tutorial on verification of safety properties for parameterized systems. Such a system consists of an arbitrary number of processes; the aim is to prove correctness of...
Parosh Aziz Abdulla
APN
2007
Springer
14 years 1 months ago
ProM 4.0: Comprehensive Support for Real Process Analysis
This tool paper describes the functionality of ProM. Version 4.0 of ProM has been released at the end of 2006 and this version reflects recent achievements in process mining. Proc...
Wil M. P. van der Aalst, Boudewijn F. van Dongen, ...
FOSSACS
2005
Springer
14 years 1 months ago
Model Checking for Nominal Calculi
Nominal calculi have been shown very effective to formally model a variety of computational phenomena. The models of nominal calculi have often infinite states, thus making model ...
Gian Luigi Ferrari, Ugo Montanari, Emilio Tuosto