Machine Learning, Volume 52, 2003

Volume 52, Numbers 1-2, July-August 2003

• Paola Sebastiani, Isaac S. Kohane, Marco Ramoni:
  Editorial: Methods in Functional Genomics. 5-9
  
• Tailen Hsing, Sanju Attoor, Edward R. Dougherty:
  Relation Between Permutation-Test P Values and Classifier Error Estimates. 11-30
  
• Philip M. Long, Vinsensius Berlian Vega SN:
  Boosting and Microarray Data. 31-44
  
• Sampsa Hautaniemi, Olli Yli-Harja, Jaakko Astola, Päivikki Kauraniemi, Anne Kallioniemi, Maija Wolf, Jimmy Ruiz, Spyro Mousses, Olli-P. Kallioniemi:
  Analysis and Visualization of Gene Expression Microarray Data in Human Cancer Using Self-Organizing Maps. 45-66
  
• Byoung-Tak Zhang, Jinsan Yang, Sung Wook Chi:
  Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. 67-89
  
• Stefano Monti, Pablo Tamayo, Jill P. Mesirov, Todd R. Golub:
  Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data. 91-118
  
• Soumya Raychaudhuri, Hinrich Schütze, Russ B. Altman:
  Inclusion of Textual Documentation in the Analysis of Multidimensional Data Sets: Application to Gene Expression Data. 119-145
  
• Harri Lähdesmäki, Ilya Shmulevich, Olli Yli-Harja:
  On Learning Gene Regulatory Networks Under the Boolean Network Model. 147-167
  
• Aniruddha Datta, Ashish Choudhary, Michael L. Bittner, Edward R. Dougherty:
  External Control in Markovian Genetic Regulatory Networks. 169-191
  

Volume 52, Number 3, September 2003

• Foster J. Provost, Pedro Domingos:
  Tree Induction for Probability-Based Ranking. 199-215
  
• Dharmendra S. Modha, W. Scott Spangler:
  Feature Weighting in k-Means Clustering. 217-237
  
• Claude Nadeau, Yoshua Bengio:
  Inference for the Generalization Error. 239-281
  

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