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» An Instance Selection Approach to Multiple Instance Learning
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JBI
2007
148views Bioinformatics» more  JBI 2007»
13 years 8 months ago
A method for linking computed image features to histological semantics in neuropathology
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
Birgit Lessmann, Tim W. Nattkemper, V. H. Hans, An...
MLDM
2007
Springer
14 years 3 months ago
Transductive Learning from Relational Data
Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Michelangelo Ceci, Annalisa Appice, Nicola Barile,...
IJCAI
2003
13 years 10 months ago
Multiple Agents Moving Target Search
Traditional single-agent search algorithms usually make simplifying assumptions (single search agent, stationary target, complete knowledge of the state, and sufficient time). The...
Mark Goldenberg, Alexander Kovarsky, Xiaomeng Wu, ...
ICMLA
2009
13 years 6 months ago
Learning Probabilistic Structure Graphs for Classification and Detection of Object Structures
Abstract--This paper presents a novel and domainindependent approach for graph-based structure learning. The approach is based on solving the Maximum Common SubgraphIsomorphism pro...
Johannes Hartz
SCHEDULING
2010
59views more  SCHEDULING 2010»
13 years 7 months ago
Implicit shift scheduling with multiple breaks and work stretch duration restrictions
This paper considers a shift scheduling problem that includes different forms of flexibility in terms of shift starting times, break lengths and break placement. Two particular ...
Monia Rekik, Jean-François Cordeau, Fran&cc...