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AI
2006
Springer
13 years 10 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
BMCBI
2006
145views more  BMCBI 2006»
13 years 10 months ago
GEM System: automatic prototyping of cell-wide metabolic pathway models from genomes
Background: Successful realization of a "systems biology" approach to analyzing cells is a grand challenge for our understanding of life. However, current modeling appro...
Kazuharu Arakawa, Yohei Yamada, Kosaku Shinoda, Yo...
BMCBI
2006
150views more  BMCBI 2006»
13 years 10 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
ENTCS
2006
115views more  ENTCS 2006»
13 years 9 months ago
Analyzing the Uses of a Software Modeling Tool
While a lot of progress has been made in improving analyses and tools that aid software development, less effort has been spent on studying how such tools are commonly used in pra...
Xiaoming Li, Daryl Shannon, Jabari Walker, Sarfraz...
ENVSOFT
2006
84views more  ENVSOFT 2006»
13 years 9 months ago
Modeling the fate of down-the-drain chemicals in rivers: An improved software for GREAT-ER
GREAT-ER (Geography-referenced Regional Exposure Assessment Tool for European Rivers) is a model system for predicting chemical fate and exposure in surface waters. The GREAT-ER a...
F. Koormann, J. Rominger, D. Schowanek, J.-O. Wagn...