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» An Instance Selection Approach to Multiple Instance Learning
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115
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AI
2009
Springer
15 years 10 months ago
Cost-Based Sampling of Individual Instances
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
130
Voted
ML
2010
ACM
170views Machine Learning» more  ML 2010»
14 years 10 months ago
Bayesian instance selection for the nearest neighbor rule
Sylvain Ferrandiz, Marc Boullé
103
Voted
ML
1998
ACM
119views Machine Learning» more  ML 1998»
15 years 3 months ago
A Note on Learning from Multiple-Instance Examples
Avrim Blum, Adam Kalai
184
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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 5 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
ICML
2001
IEEE
16 years 4 months ago
Multiple-Instance Learning of Real-Valued Data
Robert A. Amar, Daniel R. Dooly, Sally A. Goldman,...