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» Algorithms for Learning Regular Expressions
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JMLR
2010
134views more  JMLR 2010»
14 years 7 months ago
Using Contextual Representations to Efficiently Learn Context-Free Languages
We present a polynomial update time algorithm for the inductive inference of a large class of context-free languages using the paradigm of positive data and a membership oracle. W...
Alexander Clark, Rémi Eyraud, Amaury Habrar...
FCT
2007
Springer
15 years 6 months ago
On Notions of Regularity for Data Languages
Abstract. Motivated by considerations in XML theory and model checking, data strings have been introduced as an extension of finite alphabet strings which carry, at each position,...
Henrik Björklund, Thomas Schwentick
ICMLA
2004
15 years 1 months ago
Two new regularized AdaBoost algorithms
AdaBoost rarely suffers from overfitting problems in low noise data cases. However, recent studies with highly noisy patterns clearly showed that overfitting can occur. A natural s...
Yijun Sun, Jian Li, William W. Hager
ALT
2010
Springer
15 years 1 months ago
A Regularization Approach to Metrical Task Systems
We address the problem of constructing randomized online algorithms for the Metrical Task Systems (MTS) problem on a metric against an oblivious adversary. Restricting our attenti...
Jacob Abernethy, Peter L. Bartlett, Niv Buchbinder...
JMLR
2008
139views more  JMLR 2008»
15 years 7 days ago
Regularization on Graphs with Function-adapted Diffusion Processes
Harmonic analysis and diffusion on discrete data has been shown to lead to state-of-theart algorithms for machine learning tasks, especially in the context of semi-supervised and ...
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman