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CVPR
2012
IEEE
11 years 9 months ago
RALF: A reinforced active learning formulation for object class recognition
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Sandra Ebert, Mario Fritz, Bernt Schiele
ECML
2003
Springer
14 years 18 days ago
Learning Context Free Grammars in the Limit Aided by the Sample Distribution
We present an algorithm for learning context free grammars from positive structural examples (unlabeled parse trees). The algorithm receives a parameter in the form of a finite se...
Yoav Seginer
JMLR
2012
11 years 9 months ago
Contextual Bandit Learning with Predictable Rewards
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Alekh Agarwal, Miroslav Dudík, Satyen Kale,...
AGILEDC
2007
IEEE
14 years 1 months ago
Agile Program Management: Lessons Learned from the VeriSign Managed Security Services Team
This report examines how the VeriSign Managed Security Services team (MSS) has successfully extended agile software development practices to deal with a complex, multi-product dev...
Peter Hodgkins, Luke Hohmann
WSKS
2009
Springer
14 years 1 months ago
Towards an "Intelligent" Tagging Tool for Blogs
Tagging allows people to effectively organize web resources such as images, bookmarks or blog articles. Things are found easier by browsing tag clouds relying on the tags that hav...
Juraj Frank, Renate Motschnig, Martin Homola