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ECML
2006
Springer
14 years 10 days ago
Bayesian Learning of Markov Network Structure
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
Aleks Jakulin, Irina Rish
QSIC
2003
IEEE
14 years 1 months ago
Validating Use-Cases with the AsmL Test Tool
The Abstract State Machine Language supports use-case oriented modeling in a faithful way. In this paper we discuss how the AsmL test tool, a new component of the AsmL tool environ...
Michael Barnett, Wolfgang Grieskamp, Wolfram Schul...
ASM
2005
ASM
14 years 2 months ago
Scenario based Analysis of Linear Computations
Abstract. In this paper we consider the following task: given an abstract state machine, characterize the subsets of initial values corresponding to different typical scenarios of...
Vladimir Filatov, Rostislav Yavorskiy
MSCS
2010
104views more  MSCS 2010»
13 years 7 months ago
A note on accelerated Turing machines
ABSTRACT. In this note we prove that any Turing machine which uses only a finite computational space for every input cannot solve an uncomputable problem even in case it runs in a...
Cristian S. Calude, Ludwig Staiger
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
13 years 8 months ago
Superstate identification for state machines using search-based clustering
State machines are a popular method of representing a syshigh level of abstraction that enables developers to gain an overview of the system they represent and quickly understand ...
Mathew Hall, Phil McMinn, Neil Walkinshaw