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
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• Geoffrey I. Webb, Kai Ming Ting:
  On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions. 25-32
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• 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
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• Johannes Fürnkranz, Peter A. Flach:
  ROC 'n' Rule Learning-Towards a Better Understanding of Covering Algorithms. 39-77
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• G. Niklas Norén, Roland Orre:
  Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap. 79-94
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Volume 58, Number 2-3, February 2005

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