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TMI
2010
206views more  TMI 2010»
13 years 3 months ago
Random Subspace Ensembles for fMRI Classification
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
Ludmila I. Kuncheva, Juan José Rodrí...
GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
13 years 12 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
DLS
2008
165views Languages» more  DLS 2008»
13 years 10 months ago
Filtered dispatch
Predicate dispatching is a generalized form of dynamic dispatch, which has strong limitations when arbitrary predicates of the underlying base language are used. Unlike classes, w...
Pascal Costanza, Charlotte Herzeel, Jorge Vallejos...
CBMS
2005
IEEE
14 years 2 months ago
Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma
The availability of modern imaging techniques such as Confocal Scanning Laser Tomography (CSLT) for capturing high-quality optic nerve images offer the potential for developing au...
Jin Yu, Syed Sibte Raza Abidi, Paul Habib Artes, A...
BMCBI
2008
219views more  BMCBI 2008»
13 years 8 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong