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ICML
2006
IEEE
14 years 7 months ago
Kernelizing the output of tree-based methods
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
Florence d'Alché-Buc, Louis Wehenkel, Pierr...
BMCBI
2008
109views more  BMCBI 2008»
13 years 6 months ago
The meaning of alignment: lessons from structural diversity
Background: Protein structural alignment provides a fundamental basis for deriving principles of functional and evolutionary relationships. It is routinely used for structural cla...
Walter Pirovano, K. Anton Feenstra, Jaap Heringa
JBI
2002
126views Bioinformatics» more  JBI 2002»
13 years 6 months ago
Characteristic attributes in cancer microarrays
Rapid advances in genome sequencing and gene expression microarray technologies are providing unprecedented opportunities to identify specific genes involved in complex biological...
Indra Neil Sarkar, Paul J. Planet, T. E. Bael, S. ...
ROCAI
2004
Springer
14 years 1 days ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
NAR
1998
122views more  NAR 1998»
13 years 6 months ago
The PIR-International Protein Sequence Database
The Protein Information Resource (PIR; http://wwwnbrf.georgetown.edu/pir/ ) supports research on molecular evolution, functional genomics, and computational biology by maintaining...
Winona C. Barker, John S. Garavelli, Daniel H. Haf...