Machine Learning, Volume 68, 2007

Volume 68, Number 1, July 2007

• Geoffrey I. Webb:
  Discovering Significant Patterns. 1-33
  
• Bernard Haasdonk, Hans Burkhardt:
  Invariant kernel functions for pattern analysis and machine learning. 35-61
  
• Ata Kabán:
  Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. 63-95
  
• Tom Fawcett, Alexandru Niculescu-Mizil:
  PAV and the ROC convex hull. 97-106
  

Volume 68, Number 2, August 2007

• Alexander Schmolck, Richard M. Everson:
  Smooth relevance vector machine: a smoothness prior extension of the RVM. 107-135
  
• Tadeusz Pietraszek:
  On the use of ROC analysis for the optimization of abstaining classifiers. 137-169
  
• Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang:
  Structured large margin machines: sensitive to data distributions. 171-200
  

Volume 68, Number 3, October 2007

• Faming Liang:
  Annealing stochastic approximation Monte Carlo algorithm for neural network training. 201-233
  
• Andrew I. Schein, Lyle H. Ungar:
  Active learning for logistic regression: an evaluation. 235-265
  
• Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng:
  A note on Platt's probabilistic outputs for support vector machines. 267-276