Machine Learning, Volume 66, 2007

Volume 66, Number 1, January 2007

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

Volume 66, Numbers 2-3, March 2007

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