P. Philips

发表

mGene: accurate SVM-based gene finding with an application to nematode genomes.

Cheng Soon Ong, S. Sonnenburg, A. Zien, 2009, Genome research.

Local Complexities for Empirical Risk Minimization

Peter L. Bartlett, Shahar Mendelson, Petra Philips, 2004, COLT.

Data-Dependent Analysis of Learning Algorithms

P. Philips, 2005 .

Positional Oligomer Importance Matrices

S. Sonnenburg, A. Zien, G. Rätsch, 2007, NIPS 2007.

POIMs: positional oligomer importance matrices—understanding support vector machine-based signal detectors

Gunnar Rätsch, Alexander Zien, Sören Sonnenburg, 2008, ISMB.

JADETD : COMBINING HIGHER-ORDER STATISTICS AND TEMPORALINFORMATION FOR BLIND SOURCE SEPARATION ( WITH NOISE )

P. Philips, Rudower Chaussee, Klaus-Robert M uller, 1999 .

nematode genomes mGene : Accurate SVM-based gene finding with an application to Material Supplemental

Cheng Soon Ong, S. Sonnenburg, A. Zien, 2009 .

Accurate splice site prediction using support vector machines

Gunnar Rätsch, Sören Sonnenburg, Petra Philips, 2007, BMC Bioinformatics.

On the Importance of Small Coordinate Projections

Shahar Mendelson, Petra Philips, S. Mendelson, 2004, J. Mach. Learn. Res..

Random Subclass Bounds

Shahar Mendelson, Petra Philips, S. Mendelson, 2003, COLT.

Optimal Sample-Based Estimates of the Expectation of the Empirical Minimizer

Peter L. Bartlett, Shahar Mendelson, Petra Philips, 2005 .

POIMs: positional oligomer importance matrices—understanding support vector machine-based signal detectors

S. Sonnenburg, A. Zien, G. Rätsch, 2008, ISMB.