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AAAI
2011
13 years 12 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
EVOW
2007
Springer
15 years 6 months ago
Modeling Genetic Networks: Comparison of Static and Dynamic Models
Biomedical research has been revolutionized by high-throughput techniques and the enormous amount of biological data they are able to generate. The interest shown over network mode...
Cristina Rubio-Escudero, Oscar Harari, Oscar Cord&...
UML
2005
Springer
15 years 5 months ago
Dynamic Secure Aspect Modeling with UML: From Models to Code
Abstract. Security engineering deals with modeling, analysis, and implementation of complex security mechanisms. The dynamic nature of such mechanisms makes it difficult to anticip...
Jan Jürjens, Siv Hilde Houmb
IICAI
2007
15 years 1 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
14 years 6 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...