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JCISD
2006
114views more  JCISD 2006»
13 years 6 months ago
Ensemble of Linear Models for Predicting Drug Properties
We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...
Tomasz Arodz, David A. Yuen, Arkadiusz Z. Dudek
WAPCV
2007
Springer
14 years 15 days ago
On the Role of Dopamine in Cognitive Vision
Abstract. Although dopamine is one of the most studied neurotransmitter in the brain, its exact function is still unclear. This short review focuses on its role in different level...
Julien Vitay, Fred Henrik Hamker
CVIU
2008
75views more  CVIU 2008»
13 years 6 months ago
Performance characterization in computer vision: A guide to best practices
It is frequently remarked that designers of computer vision algorithms and systems cannot reliably predict how algorithms will respond to new problems. A variety of reasons have b...
Neil A. Thacker, Adrian F. Clark, John L. Barron, ...
ESANN
2000
13 years 7 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
GI
2009
Springer
13 years 11 months ago
Perspectives on Tag Clouds for Supporting Reflection in Self-organised Learning
: Tags are popular for organising information in social software based on the personal views of the participants on the information. Tags provide valuable attention meta-data on a ...
Christian Glahn, Marcus Specht, Rob Koper