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» Sampling Methods for Unsupervised Learning
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160
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SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
15 years 4 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
115
Voted
AUSAI
2008
Springer
15 years 4 months ago
Practical Bias Variance Decomposition
Abstract. Bias variance decomposition for classifiers is a useful tool in understanding classifier behavior. Unfortunately, the literature does not provide consistent guidelines on...
Remco R. Bouckaert
IJCNN
2000
IEEE
15 years 7 months ago
Bias Learning, Knowledge Sharing
—Biasing properly the hypothesis space of a learner has been shown to improve generalization performance. Methods for achieving this goal have been proposed, that range from desi...
Joumana Ghosn, Yoshua Bengio
136
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ECCV
2006
Springer
16 years 4 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe
133
Voted
WAPCV
2007
Springer
15 years 8 months ago
Embodied Active Vision in Language Learning and Grounding
Abstract. Most cognitive studies of language acquisition in both natural systems and artificial systems have focused on the role of purely linguistic information as the central co...
Chen Yu