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PAA
2002
14 years 11 months ago
Combining Discriminant Models with New Multi-Class SVMs
: The idea of performing model combination, instead of model selection, has a long theoretical background in statistics. However, making use of theoretical results is ordinarily su...
Yann Guermeur
IJAIT
2002
81views more  IJAIT 2002»
14 years 11 months ago
Guiding Constructive Search with Statistical Instance-Based Learning
Several real world applications involve solving combinatorial optimization problems. Commonly, existing heuristic approaches are designed to address specific difficulties of the u...
Orestis Telelis, Panagiotis Stamatopoulos
EKAW
2010
Springer
14 years 10 months ago
Ontology Engineering with Rough Concepts and Instances
A scenario in ontology development and its use is hypothesis testing, such as finding new subconcepts based on the data linked to the ontology. During such experimentation, knowle...
C. Maria Keet
IEE
2008
115views more  IEE 2008»
14 years 12 months ago
Faithful mapping of model classes to mathematical structures
ion techniques are indispensable for the specification and verification of functional behavior of programs. In object-oriented ation languages like JML, a powerful abstraction tec...
Ádám Darvas, Peter Müller
ECCV
2010
Springer
15 years 5 months ago
A Discriminative Latent Model of Object Classes and Attributes
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....