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» Reasoning about Function Objects
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COLT
1999
Springer
15 years 2 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
JFP
2007
111views more  JFP 2007»
14 years 9 months ago
Mechanizing metatheory in a logical framework
The LF logical framework codifies a methodology for representing deductive systems, such as programming languages and logics, within a dependently typed λ-calculus. In this meth...
Robert Harper, Daniel R. Licata
ECML
2003
Springer
15 years 3 months ago
Pairwise Preference Learning and Ranking
We consider supervised learning of a ranking function, which is a mapping from instances to total orders over a set of labels (options). The training information consists of exampl...
Johannes Fürnkranz, Eyke Hüllermeier
ECCV
2004
Springer
15 years 3 months ago
Ultrasound Stimulated Vibro-acoustography
ABSTRACT We describe theoretical principles of an imaging modality that uses the acoustic response of an object to a highly localized dynamic radiation force of an ultrasound field...
James F. Greenleaf, Mostafa Fatemi, Marek Belohlav...
GIS
2003
ACM
15 years 11 months ago
Nearest neighbor queries in road networks
With wireless communications and geo-positioning being widely available, it becomes possible to offer new e-services that provide mobile users with information about other mobile ...
Christian S. Jensen, Jan Kolárvr, Torben Ba...