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» Active Learning with Confidence
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ICML
2009
IEEE
15 years 10 months ago
Importance weighted active learning
We propose an importance weighting framework for actively labeling samples. This technique yields practical yet sound active learning algorithms for general loss functions. Experi...
Alina Beygelzimer, Sanjoy Dasgupta, John Langford
JMLR
2010
82views more  JMLR 2010»
14 years 4 months ago
Negative Results for Active Learning with Convex Losses
We study the problem of active learning with convex loss functions. We prove that even under bounded noise constraints, the minimax rates for proper active learning are often no b...
Steve Hanneke, Liu Yang
69
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ALT
2008
Springer
15 years 6 months ago
Active Learning of Group-Structured Environments
The question investigated in this paper is to what extent an input representation influences the success of learning, in particular from the point of view of analyzing agents that...
Gábor Bartók, Csaba Szepesvár...
MLDM
2008
Springer
14 years 9 months ago
Classification Based on Consistent Itemset Rules
Abstract. We propose an approach to build a classifier composing consistent (100% confident) rules. Recently, associative classifiers that utilize association rules have been widel...
Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
CVPR
2006
IEEE
15 years 11 months ago
The Function Space of an Activity
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...
Ashok Veeraraghavan, Amit K. Roy Chowdhury