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» A new kernel-based approach for linear system identification
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AIPS
2008
13 years 11 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
DEBS
2007
ACM
13 years 10 months ago
Identification of suspicious, unknown event patterns in an event cloud
This paper describes an approach to detect unknown event patterns. In this context, an event is not only something that happens, but also something that can be analysed. This task...
Alexander Widder, Rainer von Ammon, Philippe Schae...
ESANN
2004
13 years 10 months ago
Sparse LS-SVMs using additive regularization with a penalized validation criterion
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
Kristiaan Pelckmans, Johan A. K. Suykens, Bart De ...
JSCIC
2008
66views more  JSCIC 2008»
13 years 8 months ago
Substructuring Preconditioners for Mortar Discretization of a Degenerate Evolution Problem
In this paper we present new efficient variants of structured preconditioners for algebraic linear systems arising from the mortar discretization of a degenerate parabolic system o...
Micol Pennacchio, Valeria Simoncini
AAECC
1998
Springer
167views Algorithms» more  AAECC 1998»
13 years 8 months ago
Generalized Bezout Identity
We describe a new approach of the generalized Bezout identity for linear time-varying ordinary differential control systems. We also explain when and how it can be extended to line...
J. F. Pommaret, Alban Quadrat