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» Minimization of Error Functionals over Perceptron Networks
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ESANN
2004
14 years 11 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 ...
JC
2011
87views more  JC 2011»
14 years 4 months ago
Lower bounds for the complexity of linear functionals in the randomized setting
Abstract. Hinrichs [3] recently studied multivariate integration defined over reproducing kernel Hilbert spaces in the randomized setting and for the normalized error criterion. I...
Erich Novak, Henryk Wozniakowski
JAIR
2010
108views more  JAIR 2010»
14 years 8 months ago
Kalman Temporal Differences
This paper deals with value (and Q-) function approximation in deterministic Markovian decision processes (MDPs). A general statistical framework based on the Kalman filtering pa...
Matthieu Geist, Olivier Pietquin
SSDBM
2008
IEEE
181views Database» more  SSDBM 2008»
15 years 4 months ago
Monitoring Aggregate k-NN Objects in Road Networks
Abstract. In recent years, there is an increasing need to monitor k nearest neighbor (k-NN) in a road network. There are existing solutions on either monitoring k-NN objects from a...
Lu Qin, Jeffrey Xu Yu, Bolin Ding, Yoshiharu Ishik...
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SECON
2008
IEEE
15 years 4 months ago
SYNAPSE: A Network Reprogramming Protocol for Wireless Sensor Networks Using Fountain Codes
—Wireless reprogramming is a key functionality in Wireless Sensor Networks (WSNs). In fact, the requirements for the network may change in time, or new parameters might have to b...
Michele Rossi, Giovanni Zanca, Luca Stabellini, Ri...