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AAAI
1996
13 years 9 months ago
Monitoring Frog Communities: An Application of Machine Learning
Automatic recognition of animal vocalisations would be a valuable tool for a variety of biological research and environmental monitoring applications . We report the development o...
Andrew Taylor, Graeme Watson, Gordon Grigg, Hamish...
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...
CSCLP
2006
Springer
13 years 11 months ago
A Constraint Model for State Transitions in Disjunctive Resources
Abstract. Traditional resources in scheduling are simple machines where a capacity is the main restriction. However, in practice there frequently appear resources with more complex...
Roman Barták, Ondrej Cepek
APN
2003
Springer
14 years 29 days ago
Model Checking Safety Properties in Modular High-Level Nets
Model checking by exhaustive state space enumeration is one of the most developed analysis methods for distributed event systems. Its main problem—the size of the state spaces—...
Marko Mäkelä
RSFDGRC
2005
Springer
127views Data Mining» more  RSFDGRC 2005»
14 years 1 months ago
Hierarchical Information Maps
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
Andrzej Skowron, Piotr Synak