206 search results - page 14 / 42 » GRASP for Instance Selection in Medical Data Sets |
159
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NIPS
2004
15 years 7 months ago
2004
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
167
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ICML
1994
IEEE
15 years 9 months ago
1994
IEEE
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
170
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ALGORITHMICA
2006
15 years 6 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
173
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MLDM
2005
Springer
15 years 11 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
180
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MICCAI
2007
Springer
16 years 7 months ago
2007
Springer
A fundamental problem when computing statistical shape models is the determination of correspondences between the instances of the associated data set. Often, homologies between po...