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MICCAI
2003
Springer
14 years 11 months ago
Quantifying Evolving Processes in Multimodal 3D Medical Images
Quantitative measurements of changes in evolving brain pathology, such as multiple sclerosis lesions and brain tumors, are important for clinicians to perform pertinent diagnoses a...
Yuhang Wang, Tilmann Steinberg, Fillia Makedon, Ja...
ICML
2005
IEEE
14 years 11 months ago
Ensembles of biased classifiers
We propose a novel ensemble learning algorithm called Triskel, which has two interesting features. First, Triskel learns an ensemble of classifiers, each biased to have high preci...
Andreas Heß, Nicholas Kushmerick, Rinat Khou...
ICML
2003
IEEE
14 years 11 months ago
On Kernel Methods for Relational Learning
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Chad M. Cumby, Dan Roth
ICML
1996
IEEE
14 years 11 months ago
Passive Distance Learning for Robot Navigation
Autonomous mobile robots need good models of their environment, sensors and actuators to navigate reliably and efficiently. While this information can be supplied by humans, or le...
Sven Koenig, Reid G. Simmons
ICSE
2008
IEEE-ACM
14 years 11 months ago
Predicting defects using network analysis on dependency graphs
In software development, resources for quality assurance are limited by time and by cost. In order to allocate resources effectively, managers need to rely on their experience bac...
Thomas Zimmermann, Nachiappan Nagappan