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IDA
2003
Springer
15 years 9 months ago
Regularization Methods for Additive Models
This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform var...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
IJCNN
2007
IEEE
15 years 10 months ago
Local Learning of Tide Level Time Series using a Fuzzy Approach
— Forecasting the tide level in the Venezia lagoon is a very compelling task. In this work we propose a new approach to the learning of tide level time series based on the local ...
E. Canestrelli, P. Canestrelli, Marco Corazza, Mau...
ICIAR
2005
Springer
15 years 10 months ago
Robust Global Mosaic Topology Estimation for Real-Time Applications
This paper proposes an iterative methodology for real-time robust mosaic topology inference. It tackles the problem of optimal feature selection (optimal sampling) for global estim...
Nuno Pinho da Silva, João Paulo Costeira
WSC
2007
15 years 6 months ago
Implications of heavy tails on simulation-based ordinal optimization
We consider the problem of selecting the best system using simulation-based ordinal optimization. This problem has been studied mostly in the context of light-tailed distributions...
Mark Broadie, Minsup Han, Assaf Zeevi
BIBE
2007
IEEE
167views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
Assessing the Performance of Macromolecular Sequence Classifiers
Machine learning approaches offer some of the most cost-effective approaches to building predictive models (e.g., classifiers) in a broad range of applications in computational bio...
Cornelia Caragea, Jivko Sinapov, Vasant Honavar, D...