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» GRASP for Instance Selection in Medical Data Sets
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ISAMI
2010
13 years 2 months ago
GRASP for Instance Selection in Medical Data Sets
Abstract Medical data sets consist of a huge amount of data organized in instances, where each one contains several attributes. The quality of the models obtained from a database s...
Alfonso Fernández, Abraham Duarte, Rosa Her...
CVPR
2009
IEEE
14 years 11 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
IROS
2007
IEEE
134views Robotics» more  IROS 2007»
13 years 10 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
NN
1998
Springer
148views Neural Networks» more  NN 1998»
13 years 4 months ago
ARTMAP-IC and medical diagnosis: Instance counting and inconsistent cases
For complex database prediction problems such as medical diagnosis, the ARTMAP-IC neural network adds distributed prediction and category instance counting to the basic fuzzy ARTM...
Gail A. Carpenter, Natalya Markuzon
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
13 years 11 months ago
Set-Based Boosting for Instance-Level Transfer
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
Eric Eaton, Marie desJardins