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COLT
1993
Springer
13 years 11 months ago
Learning from a Population of Hypotheses
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
Michael J. Kearns, H. Sebastian Seung
ICML
2010
IEEE
13 years 8 months ago
On learning with kernels for unordered pairs
We propose and analyze two strategies to learn over unordered pairs with kernels, and provide a common theoretical framework to compare them. The strategies are related to methods...
Martial Hue, Jean-Philippe Vert
INTERSPEECH
2010
13 years 2 months ago
HMM adaptation using linear spline interpolation with integrated spline parameter training for robust speech recognition
We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Michael L. Seltzer, Alex Acero
DATE
2002
IEEE
131views Hardware» more  DATE 2002»
14 years 15 days ago
Passive Constrained Rational Approximation Algorithm Using Nevanlinna-Pick Interpolation
As system integration evolves and tighter design constraints must be met, it becomes necessary to account for the non-ideal behavior of all the elements in a system. For high-spee...
Carlos P. Coelho, Luis Miguel Silveira, Joel R. Ph...
ICCSA
2003
Springer
14 years 22 days ago
Uniform Approximations for Transcendental Functions
A heuristic method to construct uniform approximations to analytic transcendental functions is developed as a generalization of the Hermite-Pad´e interpolation to infinite interv...
Serge Winitzki