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ICML
2005
IEEE
16 years 6 months ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 10 months ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...
EMNLP
2008
15 years 7 months ago
Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
Ananlada Chotimongkol, Alexander I. Rudnicky
CONCUR
2010
Springer
15 years 7 months ago
Learning I/O Automata
Links are established between three widely used modeling frameworks for reactive systems: the ioco theory of Tretmans, the interface automata of De Alfaro and Henzinger, and Mealy ...
Fides Aarts, Frits W. Vaandrager
MODELS
2007
Springer
16 years 7 hour ago
A UML Profile for Developing Airworthiness-Compliant (RTCA DO-178B), Safety-Critical Software
Many safety-related and certification standards exist for developing safety-critical systems. Safety assessments are performed in practice, and system certification according to a...
Gregory Zoughbi, Lionel C. Briand, Yvan Labiche