Volume 4, September 2008
New challenges for feature selection in data mining and knowledge discovery
September 15, 2008, Antwerp, Belgium
- Yvan Saeys, Huan Liu, Iñaki Inza, Louis Wehenkel, Yves Van de Peer:
Preface.
1-4
- Taiji Suzuki, Masashi Sugiyama, Jun Sese, Takafumi Kanamori:
Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation.
5-20
- John Aldo Lee, Michel Verleysen:
Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods.
21-35
- Zheng Zhao, Huan Liu:
Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis.
36-47
- Marine Campedel, Ivan O. Kyrgyzov, Henri Maître:
Unsupervised feature selection applied to SPOT5 satellite images indexing.
48-59
- Vân Anh Huynh-Thu, Louis Wehenkel, Pierre Geurts:
Exploiting tree-based variable importances to selectively identify relevant variables.
60-73
- Peter Antal, András Millinghoffer, Gábor Hullám, Csaba Szalai, András Falus:
A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction.
74-89
- Andreas Janecek, Wilfried N. Gansterer, Michael Demel, Gerhard Ecker:
On the Relationship Between Feature Selection and Classification Accuracy.
90-105
- Andreas Köhler, Matthias Ohrnberger, Carsten Riggelsen, Frank Scherbaum:
Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields.
106-121
- Svetlana Kiritchenko, Mikhail Jiline:
Keyword Optimization in Sponsored Search via Feature Selection.
122-134
- Victor Eruhimov, Vladimir Martyanov, Aleksey Polovinkin:
Transferring Knowledge by Prior Feature Sampling.
135-147
- Roberto Ruiz, José C. Riquelme, Jesús S. Aguilar-Ruiz:
Best Agglomerative Ranked Subset for Feature Selection.
148-162
- Sébastien Guérif:
Unsupervised Variable Selection: when random rankings sound as irrelevancy.
163-177
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