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» Modeling the Dynamics of UML State Machines
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RE
2001
Springer
13 years 12 months ago
The Single Model Principle
at different levels of abstraction. There are two very different ways of using such languages. One approach is based on the manifestation of a single model, with construction of di...
Richard F. Paige, Jonathan S. Ostroff
ECML
2006
Springer
13 years 11 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
AGENTCL
2003
Springer
14 years 21 days ago
Nonmonotonic Commitment Machines
CHOPRA, AMIT KHUSHWANT. Nonmonotonic Commitment Machines. (Under the direction of Dr. Munindar P. Singh). Protocols in open and dynamic multiagent systems cannot be modeled via fo...
Amit K. Chopra, Munindar P. Singh
ISLPED
1997
ACM
104views Hardware» more  ISLPED 1997»
13 years 11 months ago
Composite sequence compaction for finite-state machines using block entropy and high-order Markov models
- The objective of this paper is to provide an effective technique for accurate modeling of the external input sequences that affect the behavior of Finite State Machines (FSMs). B...
Radu Marculescu, Diana Marculescu, Massoud Pedram
ECML
2005
Springer
14 years 1 months ago
Inducing Hidden Markov Models to Model Long-Term Dependencies
We propose in this paper a novel approach to the induction of the structure of Hidden Markov Models. The induced model is seen as a lumped process of a Markov chain. It is construc...
Jérôme Callut, Pierre Dupont