Kluwer, as publisher of the Machine Learning journal, honors the best student papers of ECML and PKDD with awards. The awards are based on significance and originality of contributions and satisfy the following criteria:

• The primary author of the paper must be a student (or more than one student), or have been a student at the time the paper was submitted.
• The paper must be on a topic that is clearly within the scope of the Machine Learning journal.

The following contributions have been awarded:

• Best student paper winner:
  Niels Landwehr, Mark Hall, Eibe Frank
  Logistic Model Trees
• Best student paper runner-up:
  Kristina Toutanova, Mark Mitchell, Christopher D. Manning
  Optimizing the Local Probability Models of Compound Decision Systems
• ECML best paper award:
  Ricardo Vilalta, Irina Rish
  A Decomposition Of Classes Via Clustering To Explain And Improve Naive Bayes
• PKDD best paper award:
  David Enot, Ross King
  Application of Inductive Logic Programming to Structure-Based Drug Design

KDNet also offers Travel Grants for Students and Support for the accepted ECML/PKDD Workshops.

The deadline for applications for KDNet travel grants has passed. No more grant applications are accepted.