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ESANN
2007
15 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
IIWAS
2008
15 years 8 months ago
Application framework with demand-driven mashup for selective browsing
Abstract: We are developing a new mashup framework for creating flexible applications in which users can selectively browse through mashup items. The framework provides GUI compone...
Sohei Ikeda, Takakazu Nagamine, Tomio Kamada
AVI
2006
15 years 8 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
FOIS
2006
15 years 8 months ago
A Dynamic Theory of Ontology
Natural languages are easy to learn by infants, they can express any thought that any adult might ever conceive, and they accommodate the limitations of human breathing rates and s...
John F. Sowa
CASCON
2001
148views Education» more  CASCON 2001»
15 years 8 months ago
A Pareto model for OLAP view size estimation
On Line Analytical Processing (OLAP) aims at gaining useful information quickly from large amounts of data residing in a data warehouse. To improve the quickness of response to qu...
Thomas P. Nadeau, Toby J. Teorey
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