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KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 9 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
AUSAI
2009
Springer
14 years 3 months ago
Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
Gerhard Visser, David L. Dowe, Imants D. Svalbe
ICTAI
2008
IEEE
14 years 3 months ago
A General Technique for Plan Repair
In real world we have to deal with changing situations which may partially or entirely invalidate an executable plan. Current strategies for plan repair are basically aimed at sol...
Marlene Arangú, Antonio Garrido, Eva Onaind...
IRI
2008
IEEE
14 years 3 months ago
An algorithm for activation timed influence nets
Activation Timed Influence Net (ATIN) is a term representing a progressively evolving sequence of actions, where the effects of an action become the preconditions of the action th...
Panayota Papantoni-Kazakos, Abbas K. Zaidi, M. Far...
CEC
2007
IEEE
14 years 3 months ago
A rigorous view on neutrality
Abstract—Motivated by neutrality observed in natural evolution often redundant encodings are used in evolutionary algorithms. Many experimental studies have been carried out on t...
Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus,...