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ARTMED
2007
347views more  ARTMED 2007»
13 years 5 months ago
A combined MRI and MRSI based multiclass system for brain tumour recognition using LS-SVMs with class probabilities and feature
Objective: This study investigates the use of automated pattern recognition methods on magnetic resonance data with the ultimate goal to assist clinicians in the diagnosis of brai...
Jan Luts, Arend Heerschap, Johan A. K. Suykens, Sa...
ML
2010
ACM
151views Machine Learning» more  ML 2010»
13 years 3 months ago
Inductive transfer for learning Bayesian networks
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
Roger Luis, Luis Enrique Sucar, Eduardo F. Morales
RECOMB
2006
Springer
14 years 5 months ago
Assessing Significance of Connectivity and Conservation in Protein Interaction Networks
Computational and comparative analysis of protein-protein interaction (PPI) networks enable understanding of the modular organization of the cell through identification of functio...
Mehmet Koyutürk, Ananth Grama, Wojciech Szpan...
PROMISE
2010
13 years 1 days ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
ICPW
2007
13 years 6 months ago
A practical method for courseware evaluation
As more courseware becomes available, choosing the right functionality for a particular e-learning community is becoming more problematic. Systematic methods for evaluating course...
Aldo de Moor