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PAMI
2006
206views more  PAMI 2006»
14 years 9 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
MP
2002
110views more  MP 2002»
14 years 9 months ago
Robust optimization - methodology and applications
Abstract. Robust Optimization (RO) is a modeling methodology, combined with computational tools, to process optimization problems in which the data are uncertain and is only known ...
Aharon Ben-Tal, Arkadi Nemirovski
GI
2010
Springer
14 years 8 months ago
A Method for Constructing Enterprise-wide Access Views on Business Objects
: Modern application landscapes consist of a multitude of inter-connected business applications exchanging data in manifold ways. These business applications are used by employees ...
Sabine Buckl, Florian Matthes, Sascha Roth, Christ...
IGPL
2010
109views more  IGPL 2010»
14 years 8 months ago
Deductive coherence and norm adoption
This paper is a contribution to the formalisation of Thagard’s coherence theory. The term coherence is defined as the quality or the state of cohering, especially a logical, ord...
Sindhu Joseph, Carles Sierra, W. Marco Schorlemmer...
KI
2010
Springer
14 years 8 months ago
Positions, Regions, and Clusters: Strata of Granularity in Location Modelling
Location models are data structures or knowledge bases used in Ubiquitous Computing for representing and reasoning about spatial relationships between so-called smart objects, i.e....
Hedda Rahel Schmidtke, Michael Beigl