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» Type Inference for Variant Object Types
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ESANN
2007
13 years 8 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
PPPJ
2006
ACM
14 years 20 days ago
Cost and benefit of rigorous decoupling with context-specific interfaces
In Java programs, classes are coupled to each other through the use of typed references. In order to minimize coupling without changing the executed code, interfaces can be introd...
Florian Forster
EVOW
2010
Springer
14 years 1 months ago
Investigating the Local-Meta-Model CMA-ES for Large Population Sizes
For many real-life engineering optimization problems, the cost of one objective function evaluation can take several minutes or hours. In this context, a popular approach to reduce...
Zyed Bouzarkouna, Anne Auger, Didier Yu Ding
IJCNN
2007
IEEE
14 years 1 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
COCOON
2005
Springer
14 years 8 days ago
On Sequential and 1-Deterministic P Systems
Abstract. The original definition of P-systems calls for rules to be applied in a maximally parallel fashion. However, in some cases a sequential model may be a more reasonable as...
Oscar H. Ibarra, Sara Woodworth, Hsu-Chun Yen, Zhe...