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» A Formal Model for Process Context Learning
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ESANN
2007
15 years 1 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
ICIP
2005
IEEE
16 years 1 months ago
Using appearance and context for outdoor scene object classification
We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down contr...
Anna Bosch, Joan Martí, Xavier Muñoz
ECTEL
2008
Springer
15 years 1 months ago
The Evolution of Social Ontologies
The idea of representing knowledge in formal models gets more and more popular. Since these models are understandable and thus processable by machines, the retrieval of knowledge i...
Nicolas Weber
WMTE
2005
IEEE
15 years 5 months ago
Lifeblog: A New Concept in Mobile Learning?
In this paper we report early findings from a sample of Australian participants using Nokia’s Lifeblog software on mobile phones to record aspects of living and learning in both...
Elizabeth Hartnell-Young, Frank Vetere
COLING
2010
14 years 6 months ago
Near-synonym Lexical Choice in Latent Semantic Space
We explore the near-synonym lexical choice problem using a novel representation of near-synonyms and their contexts in the latent semantic space. In contrast to traditional latent...
Tong Wang, Graeme Hirst