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Borgwardt, Karsten M. - Max-Planck-Institut für biologische Kybernetik
Fast subtree kernels on graphs Nino Shervashidze, Karsten M. Borgwardt
A robust Bayesian two-sample test for detecting intervals of differential gene expression
Near-optimal supervised feature selection among frequent subgraphs Marisa Thoma
Predicting phenotypic effects of gene perturbations in
Vol. 23 ISMB/ECCB 2007, pages i490i498 BIOINFORMATICS doi:10.1093/bioinformatics/btm216
CLASS PREDICTION FROM TIME SERIES GENE EXPRESSION PROFILES
Fast Computation of Graph Kernels S.V. N. Vishwanathan
Shortest-path kernels on graphs Karsten M. Borgwardt and Hans-Peter Kriegel
A Dependence Maximization View of Clustering Le Song lesong@it.usyd.edu.au
Correcting Sample Selection Bias by Unlabeled Data Jiayuan Huang
March 9, 2007 14:35 Proceedings Trim Size: 9in x 6in PSB07 GRAPH KERNELS FOR
3DString: A Feature String Kernel for 3D Object Classification on Voxelized Data
A Kernel Method for the Two-Sample-Problem Arthur Gretton
Metropolis Algorithms for Representative Subgraph Sampling Christian Hubler, Hans-Peter Kriegel
Joint Regularization Karsten M. Borgwardt1
Pattern Mining in Frequent Dynamic Subgraphs Karsten M. Borgwardt, Hans-Peter Kriegel, Peter Wackersreuther
Two-Locus Association Mapping in Subquadratic Time Panagiotis Achlioptas
