Travelled to:1 × Australia
1 × China
4 × USA
Collaborated with:P.A.Flach M.Boley S.Wrobel A.J.Smola S.Moens Q.V.Le T.Horváth C.Lucchese D.Paurat U.Brefeld T.Scheffer A.Kowalczyk
Talks about:pattern (3) support (2) vector (2) machin (2) kernel (2) effici (2) direct (2) sampl (2) base (2) regularis (1)
Person: Thomas Gärtner
DBLP: G=auml=rtner:Thomas
Contributed to:
20122011
2006200420022001Wrote 7 papers:
- KDD-2012-BoleyMG #linear #using
- Linear space direct pattern sampling using coupling from the past (MB, SM, TG), pp. 69–77.
- KDD-2011-BoleyLPG #performance #random
- Direct local pattern sampling by efficient two-step random procedures (MB, CL, DP, TG), pp. 582–590.
- ICML-2006-BrefeldGSW #performance
- Efficient co-regularised least squares regression (UB, TG, TS, SW), pp. 137–144.
- ICML-2006-LeSG #knowledge-based
- Simpler knowledge-based support vector machines (QVL, AJS, TG), pp. 521–528.
- KDD-2004-HorvathGW #graph #kernel #mining #predict
- Cyclic pattern kernels for predictive graph mining (TH, TG, SW), pp. 158–167.
- ICML-2002-GartnerFKS #kernel #multi
- Multi-Instance Kernels (TG, PAF, AK, AJS), pp. 179–186.
- ICML-2001-GartnerF #classification #named
- WBCsvm: Weighted Bayesian Classification based on Support Vector Machines (TG, PAF), pp. 154–161.