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AMAST
2010
Springer
14 years 11 months ago
Learning in a Changing World, an Algebraic Modal Logical Approach
Abstract. We develop an algebraic modal logic that combines epistemic and dynamic modalities with a view to modelling information acquisition (learning) by automated agents in a ch...
Prakash Panangaden, Mehrnoosh Sadrzadeh
TMM
2011
220views more  TMM 2011»
14 years 11 months ago
Learning Visual Contexts for Image Annotation From Flickr Groups
Abstract—We present an extension of automatic image annotation that takes the context of a picture into account. Our core assumption is that users do not only provide individual ...
Adrian Ulges, Marcel Worring, Thomas M. Breuel
ISCIS
2009
Springer
15 years 11 months ago
Predicting future object states using learned affordances
Abstract—The notion of affordances was proposed by J.J. Gibson, to refer to the action possibilities offered to the organism by its environment. In a previous formalization, affo...
Emre Ugur, Erol Sahin, Erhan Oztop
IWANN
2009
Springer
15 years 11 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
PVM
2009
Springer
15 years 11 months ago
Optimizing MPI Runtime Parameter Settings by Using Machine Learning
Abstract. Manually tuning MPI runtime parameters is a practice commonly employed to optimise MPI application performance on a specific architecture. However, the best setting for ...
Simone Pellegrini, Jie Wang, Thomas Fahringer, Han...