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NIPS
2007
15 years 5 months ago
Hierarchical Penalization
Hierarchical penalization is a generic framework for incorporating prior information in the fitting of statistical models, when the explicative variables are organized in a hiera...
Marie Szafranski, Yves Grandvalet, Pierre Morizet-...
126
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ICONIP
1998
15 years 5 months ago
An Application of ELISA to Perfect Hashing with Deterministic Ordering
This paper describes a practical application of a novel terminal attractor algorithm to the construction of Perfect Hash Functions (PHF) for a prede ned set of keys. The proposed ...
Monica Bianchini, Stefano Fanelli, Marco Gori
NIPS
2000
15 years 5 months ago
Gaussianization
We propose a non-linear feature space transformation for speaker/environment adaptation which forces the individual dimensions of the acoustic data for every speaker to be Gaussia...
Scott Saobing Chen, Ramesh A. Gopinath
104
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IJCAI
1993
15 years 5 months ago
The Statistical Learning of Accurate Heuristics
Heuristics used by search algorithms are usually composed of more primitive functions which we call "features". A method for combining features is presented which is bas...
Anna Bramanti-Gregor, Henry W. Davis
129
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WCE
2007
15 years 5 months ago
Local Approximation of Pareto Surface
—In the design process of complex systems, the designer is solving an optimization problem, which involves different disciplines and where all design criteria have to be optimize...
S. V. Utyuzhnikov, Jeremy Maginot, Marin D. Guenov