Machine Learning, Volume 52, 2003 (original) (raw)

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

Machine Learning in the Genomics Era

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    Paola Sebastiani, Isaac S. Kohane, Marco Ramoni:
    Editorial: Methods in Functional Genomics. 5-9
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    Tailen Hsing, Sanju Attoor, Edward R. Dougherty:
    Relation Between Permutation-Test P Values and Classifier Error Estimates. 11-30
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    Philip M. Long, Vinsensius Berlian Vega SN:
    Boosting and Microarray Data. 31-44
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    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
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    Byoung-Tak Zhang, Jinsan Yang, Sung Wook Chi:
    Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling. 67-89
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    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
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    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
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    Harri Lähdesmäki, Ilya Shmulevich, Olli Yli-Harja:
    On Learning Gene Regulatory Networks Under the Boolean Network Model. 147-167
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    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

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

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