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ESANN
2007
14 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
TSMC
2008
102views more  TSMC 2008»
14 years 9 months ago
Generalized Cost-Function-Based Forecasting for Periodically Measured Nonstationary Traffic
Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
Balaji Krithikaivasan, Yong Zeng, Deep Medhi
OPODIS
2004
14 years 11 months ago
Embedded Systems - Challenges and Work Directions
Embedded Systems are components integrating software and hardware jointly and specifically designed to provide given functionalities. These components may be used in many different...
Joseph Sifakis
PVLDB
2008
81views more  PVLDB 2008»
14 years 9 months ago
Optimization of multi-domain queries on the web
Where can I attend an interesting database workshop close to a sunny beach? Who are the strongest experts on service computing based upon their recent publication record and accep...
Daniele Braga, Stefano Ceri, Florian Daniel, David...
COMGEO
2010
ACM
14 years 9 months ago
Exact join detection for convex polyhedra and other numerical abstractions
r Numerical Abstractions6 Roberto Bagnaraa , Patricia M. Hillb , Enea Zaffanellaa aDepartment of Mathematics, University of Parma, Italy bSchool of Computing, University of Leeds, ...
Roberto Bagnara, Patricia M. Hill, Enea Zaffanella