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ATAL
2003
Springer
14 years 26 days ago
A protocol for multi-agent diagnosis with spatially distributed knowledge
In a large distributed system it is often infeasible or even impossible to perform diagnosis using a single model of the whole system. Instead, several spatially distributed local...
Nico Roos, Annette ten Teije, Cees Witteveen
EWCBR
2008
Springer
13 years 9 months ago
CBR System for Leukemia Patients Diagnosis
The use of computational methods is fundamental in cancer research. One of the possibilities is the use of Artificial Intelligence techniques. Several of these techniques have been...
Juan Francisco de Paz, Sara Rodríguez, Javi...
HIS
2008
13 years 9 months ago
CBR System for Diagnosis of Patients
Microarray technology allows to measure the expression levels of thousands of genes in an experiment. The use of computational methods is fundamental in cancer research. One of th...
Juan Francisco de Paz, Sara Rodríguez, Javi...
HYBRID
2001
Springer
14 years 3 days ago
Diagnosis of Physical Systems with Hybrid Models Using Parametrized Causality
Efficient algorithms exist for fault detection and isolation of physical systems based on functional redundancy. In a qualitative approach, this redundancy can be captured by a tem...
Pieter J. Mosterman
UM
2007
Springer
14 years 1 months ago
Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...
Mihaela Cocea, Stephan Weibelzahl