1180 search results - page 34 / 236 » An Instance Selection Approach to Multiple Instance Learning |
157
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
Feature subset selection, applied as a pre-processing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier perfo...
213
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CVPR
2011
IEEE
15 years 3 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
155
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ADBIS
1999
Springer
15 years 10 months ago
1999
Springer
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
200
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ICTAI
2010
IEEE
15 years 3 months ago
2010
IEEE
This work presents the concept of Continuous Search (CS), which objective is to allow any user to eventually get their constraint solver achieving a top performance on their proble...
160
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TNN
2008
15 years 5 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...