- A Least-squares Approach to Mutual Information Estimation with Application in Variable Selection
T. Suzuki, M. Sugiyama, J. Sese and T. Kanamori
- Quality assessment of nonlinear dimensionality reduction based on K-ary neighborhoods
J. Lee and M. Verleysen
- Multi-Source Feature Selection via Geometry-Dependent Covariance Analysis
Z. Zhao and H. Liu
- Unsupervised feature selection applied to SPOT5 satellite images indexing
M. Campedel, I. Kyrgyzov and H. Maitre
- Exploiting tree-based variable importances to selectively identify relevant variables
V.A. Huynh-Thu, L. Wehenkel and P. Geurts
- A Bayesian View of Challenges in Feature Selection: Feature Aggregation, Multiple Targets, Redundancy and Interaction
P. Antal, A. Millinghoffer, G. Hullám, C. Szalai and A. Falus
- A Comparison of Classification Accuracy Achieved with Wrappers, Filters and PCA
A. Janecek and W. Gansterer
- Unsupervised Feature Selection for Pattern Discovery in Seismic Wavefields
A. Köhler, M. Ohrnberger, C. Riggelsen and F. Scherbaum
- Keyword Optimization in Sponsored Search via Feature Selection
S. Kiritchenko and M. Jiline
- Transferring Knowledge by Prior Feature Sampling
V. Eruhimov, V. Martyanov and A. Polovinkin
- Best Agglomerative Ranked Subset for Feature Selection
R. Ruiz, J.C. Riquelme and J.S. Aguilar-Ruiz
- Unsupervised Variable Selection: when random rankings sound as irrelevancy
S. Guérif
Note: ECML PKDD workshop papers should be considered informal technical
reports describing ongoing research. They are not to be considered papers at
the main ECML PKDD conference, and have not gone through the main ECML PKDD
reviewing procedure.
