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Machine Learning, Volume 66, 2007

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Volume 66, Number 1, January 2007

Special Issue on Grammatical Inference

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  - journals/ml/PaliourasS07
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Georgios Paliouras, Yasubumi Sakakibara:
Guest editorial to the special issue on grammatical inference. 3-5
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Rémi Eyraud, Colin de la Higuera, Jean-Christophe Janodet:
LARS: A learning algorithm for rewriting systems. 7-31
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  - journals/ml/CarmeGLN07
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Julien Carme, Rémi Gilleron, Aurélien Lemay, Joachim Niehren:
Interactive learning of node selecting tree transducer. 33-67
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  - journals/ml/CasacubertaV07
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Francisco Casacuberta, Enrique Vidal:
Learning finite-state models for machine translation. 69-91
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  - journals/ml/Clark07
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Alexander Clark:
Learning deterministic context free grammars: The Omphalos competition. 93-110

Volume 66, Numbers 2-3, March 2007

Special Issue on Learning Theory

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Olivier Bousquet, André Elisseeff:
Guest editorial: Learning theory. 115-118
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Peter Grünwald, John Langford:
Suboptimal behavior of Bayes and MDL in classification under misspecification. 119-149
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  - journals/ml/AuerO07
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Peter Auer, Ronald Ortner:
A new PAC bound for intersection-closed concept classes. 151-163
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Magalie Fromont:
Model selection by bootstrap penalization for classification. 165-207
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Gilles Blanchard, Christin Schäfer, Yves Rozenholc, Klaus-Robert Müller:
Optimal dyadic decision trees. 209-241
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Shai Ben-David:
A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering. 243-257
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Gilles Blanchard, Olivier Bousquet, Laurent Zwald:
Statistical properties of kernel principal component analysis. 259-294
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Laurent Zwald:
Statistical properties of kernel principal component analysis. 295
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  - journals/ml/MicchelliP07
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Charles A. Micchelli, Massimiliano Pontil:
Feature space perspectives for learning the kernel. 297-319
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Nicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz:
Improved second-order bounds for prediction with expert advice. 321-352

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