Preface

Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:1-4

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Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation

Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:5-20

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Quality assessment of nonlinear dimensionality reduction based on $K$-ary neighborhoods

John Lee, Michel Verleysen; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:21-35

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Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis

Zheng Zhao, Huan Liu; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:36-47

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Unsupervised feature selection applied to SPOT5 satellite images indexing

Marine Campedel, Ivan Kyrgyzov, Henri Maitre; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:48-59

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Exploiting tree-based variable importances to selectively identify relevant variables

Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:60-73

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A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction

Peter Antal, Andras Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:74-89

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On the Relationship Between Feature Selection and Classification Accuracy

Andreas Janecek, Wilfried Gansterer, Michael Demel, Gerhard Ecker; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:90-105

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Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields

Andreas Köhler, Matthias Ohrnberger, Carsten Riggelsen, Frank Scherbaum; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:106-121

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Keyword Optimization in Sponsored Search via Feature Selection

Svetlana Kiritchenko, Mikhail Jiline; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:122-134

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Transferring Knowledge by Prior Feature Sampling

Victor Eruhimov, Vladimir Martyanov, Aleksey Polovinkin; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:135-147

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Best Agglomerative Ranked Subset for Feature Selection

Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:148-162

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Unsupervised Variable Selection: when random rankings sound as irrelevancy

Sébastien Guérif; Proceedings of the Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery at ECML/PKDD 2008, PMLR 4:163-177

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