Volume 4: New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 15 September 2008, Antwerp, Belgium


Editors: Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Pee





Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer ; PMLR 4:1-4

Accepted Papers

Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation

Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori ; PMLR 4:5-20

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

John Lee, Michel Verleysen ; PMLR 4:21-35

Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis

Zheng Zhao, Huan Liu ; PMLR 4:36-47

Unsupervised feature selection applied to SPOT5 satellite images indexing

Marine Campedel, Ivan Kyrgyzov, Henri Maitre ; PMLR 4:48-59

Exploiting tree-based variable importances to selectively identify relevant variables

Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts ; PMLR 4:60-73

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 ; PMLR 4:74-89

On the Relationship Between Feature Selection and Classification Accuracy

Andreas Janecek, Wilfried Gansterer, Michael Demel, Gerhard Ecker ; PMLR 4:90-105

Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields

Andreas Köhler, Matthias Ohrnberger, Carsten Riggelsen, Frank Scherbaum ; PMLR 4:106-121

Keyword Optimization in Sponsored Search via Feature Selection

Svetlana Kiritchenko, Mikhail Jiline ; PMLR 4:122-134

Transferring Knowledge by Prior Feature Sampling

Victor Eruhimov, Vladimir Martyanov, Aleksey Polovinkin ; PMLR 4:135-147

Best Agglomerative Ranked Subset for Feature Selection

Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz ; PMLR 4:148-162

Unsupervised Variable Selection: when random rankings sound as irrelevancy

Sébastien Guérif ; PMLR 4:163-177

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