1175 search results - page 201 / 235 » Experimental perspectives on learning from imbalanced data |
113
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ICDM
2010
IEEE
14 years 8 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
103
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EMNLP
2009
14 years 8 months ago
2009
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
ICCV
2011
IEEE
13 years 10 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
105
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ICDE
2012
IEEE
13 years 23 days ago
2012
IEEE
Abstract— Previous work has introduced probability distributions as first-class components in uncertain stream database systems. A lacking element is the fact of how accurate the...
176
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...