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» Algorithms for Learning Regular Expressions
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ALT
2008
Springer
15 years 10 months ago
Entropy Regularized LPBoost
In this paper we discuss boosting algorithms that maximize the soft margin of the produced linear combination of base hypotheses. LPBoost is the most straightforward boosting algor...
Manfred K. Warmuth, Karen A. Glocer, S. V. N. Vish...
121
Voted
NJC
2000
99views more  NJC 2000»
15 years 1 months ago
An Incremental Unique Representation for Regular Trees
In order to deal with infinite regular trees (or other pointed graph structures) efficiently, we give new algorithms to store such structures. The trees are stored in such a way th...
Laurent Mauborgne
DBPL
2001
Springer
115views Database» more  DBPL 2001»
15 years 6 months ago
Optimization Properties for Classes of Conjunctive Regular Path Queries
Abstract. We are interested in the theoretical foundations of the optimization of conjunctive regular path queries (CRPQs). The basic problem here is deciding query containment bot...
Alin Deutsch, Val Tannen
AAAI
2006
15 years 3 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
ICPR
2010
IEEE
15 years 6 months ago
Spatially Regularized Common Spatial Patterns for EEG Classification
In this paper, we propose a new algorithm for BrainComputer Interface (BCI): the Spatially Regularized Common Spatial Patterns (SRCSP). SRCSP is an extension of the famous CSP alg...
Fabien Lotte, Cuntai Guan