Machine Learning, Volume 58, 2005

Volume 58, Number 1, January 2005

• Geoffrey I. Webb, Janice R. Boughton, Zhihai Wang:
  Not So Naive Bayes: Aggregating One-Dependence Estimators. 5-24
  
• Geoffrey I. Webb, Kai Ming Ting:
  On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. 25-32
  
• Tom Fawcett, Peter A. Flach:
  A Response to Webb and Ting's On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. 33-38
  
• Johannes Fürnkranz, Peter A. Flach:
  ROC 'n' Rule Learning-Towards a Better Understanding of Covering Algorithms. 39-77
  
• G. Niklas Norén, Roland Orre:
  Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap. 79-94
  

Volume 58, Number 2-3, February 2005

• Eamonn J. Keogh:
  Guest Editorial. 103-105
  
• Magnus Lie Hetland, Pål Sætrom:
  Evolutionary Rule Mining in Time Series Databases. 107-125
  
• Ingo Mierswa, Katharina Morik:
  Automatic Feature Extraction for Classifying Audio Data. 127-149
  
• Anthony J. Bagnall, Gareth J. Janacek:
  Clustering Time Series with Clipped Data. 151-178
  
• Mohammed Waleed Kadous, Claude Sammut:
  Classification of Multivariate Time Series and Structured Data Using Constructive Induction. 179-216
  
• Kyrre M. Begnum, Mark Burgess:
  Principle Components and Importance Ranking of Distributed Anomalies. 217-230
  
• Yutao Shou, Nikos Mamoulis, David W. Cheung:
  Fast and Exact Warping of Time Series Using Adaptive Segmental Approximations. 231-267
  
• Yoshiki Tanaka, Kazuhisa Iwamoto, Kuniaki Uehara:
  Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle. 269-300
  
• Michail Vlachos, George Kollios, Dimitrios Gunopulos:
  Elastic Translation Invariant Matching of Trajectories. 301-334