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132
Voted
ECTEL
2009
Springer
15 years 10 months ago
2009
Springer
The work described is part of an ongoing interdisciplinary collaboration between two research teams of the University of Patras, Greece and the University of Freiburg, Germany, whi...
170
Voted
ESSMAC
2003
Springer
15 years 9 months ago
2003
Springer
Abstract. While there is strong motivation for using Gaussian Processes (GPs) due to their excellent performance in regression and classification problems, their computational com...
153
Voted
ML
2012
ACM
13 years 11 months ago
2012
ACM
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
105
Voted
ECML
1991
Springer
15 years 7 months ago
1991
Springer
This paper presents an approach to domain modeling and knowledge acquisition that consists of a gradual and goal-driven improvement of an incomplete domain model provided by a hum...
129
Voted
NIPS
1996
15 years 5 months ago
1996
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...