1006 search results - page 61 / 202 » A Case Study for Learning from Imbalanced Data Sets |
227
Voted
KDD
2012
ACM
13 years 8 months ago
2012
ACM
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
192
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IJCAI
2001
15 years 7 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
183
Voted
CORR
2011
Springer
14 years 9 months ago
2011
Springer
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
147
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JCAL
2002
15 years 5 months ago
2002
It has become increasingly important for educators to examine successful ICT implementations with the aim of understanding precisely what makes them successful in teaching and lear...
173
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ANNPR
2008
Springer
15 years 8 months ago
2008
Springer
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...