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ESANN
2007
13 years 11 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
SWAP
2008
13 years 11 months ago
A Note on the Evaluation of Inductive Concept Classification Procedures
Abstract. The limitations of deductive logic-based approaches at deriving operational knowledge from ontologies may be overcome by inductive (instancebased) methods, which are usua...
Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
SDL
2007
192views Hardware» more  SDL 2007»
13 years 11 months ago
OpenComRTOS: An Ultra-Small Network Centric Embedded RTOS Designed Using Formal Modeling
Abstract. OpenComRTOS is one of the few Real-Time Operating Systems (RTOS) for embedded systems that was developed using formal modeling techniques. The goal was to obtain a proven...
Eric Verhulst, Gjalt G. de Jong
AVI
2006
13 years 11 months ago
Usability of overview-supported zooming on small screens with regard to individual differences in spatial ability
While zoomable user interfaces can improve the usability of applications by easing data access, a drawback is that some users tend to become lost after they have zoomed in. Previo...
Thorsten Büring, Jens Gerken, Harald Reiterer
DAGSTUHL
2006
13 years 11 months ago
Cognitive Vision Needs Attention to Link Sensing with Recognition
Abstract. "Cognitive computer vision is concerned with integration and control of vision systems using explicit but not necessarily symbolic models of context, situation and g...
John K. Tsotsos
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