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» The Four Phase Method for Modelling Complex Systems
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WSC
2000
14 years 11 months ago
Teaching simulation using case studies
We have developed and implemented a case-based approach for introducing discrete event simulation to undergraduate and graduate manufacturing engineering students. Students learn ...
Charles R. Standridge
FTRTFT
2000
Springer
15 years 1 months ago
Modeling Faults of Distributed, Reactive Systems
Formal methods can improve the development of systems with high quality requirements, since they usually o er a precise, nonambiguous speci cation language and allow rigorous veri ...
Max Breitling
ECCV
2004
Springer
15 years 3 months ago
AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithms
Computer vision methods can be applied to a variety of medical and surgical applications, and many techniques and algorithms are available that can be used to recover 3D shapes and...
Andrea Giachetti, Gianluigi Zanetti
ACL
2008
14 years 11 months ago
Analyzing the Errors of Unsupervised Learning
We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...
Percy Liang, Dan Klein
PKDD
2010
Springer
179views Data Mining» more  PKDD 2010»
14 years 7 months ago
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
Tobias Jung, Peter Stone