BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × China
1 × Italy
1 × Portugal
1 × South Korea
Collaborated with:
S.Kramer A.Karwath B.Pfahringer A.Maunz F.Buchwald
Talks about:
graph (3) base (3) structur (2) regress (2) cluster (2) kernel (2) learn (2) molecular (1) subgraph (1) support (1)

Person: Madeleine Seeland

DBLP DBLP: Seeland:Madeleine

Contributed to:

SAC 20142014
SAC 20132013
KDD 20122012
SAC 20122012

Wrote 5 papers:

SAC-2014-SeelandKK #clustering #graph
Structural clustering of millions of molecular graphs (MS, AK, SK), pp. 121–128.
SAC-2014-SeelandMKK #classification
Extracting information from support vector machines for pattern-based classification (MS, AM, AK, SK), pp. 129–136.
SAC-2013-SeelandKP #graph #kernel #learning
Model selection based product kernel learning for regression on graphs (MS, SK, BP), pp. 136–143.
KDD-2012-SeelandKK #clustering #graph #kernel #learning
A structural cluster kernel for learning on graphs (MS, AK, SK), pp. 516–524.
Maximum Common Subgraph based locally weighted regression (MS, FB, SK, BP), pp. 165–172.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.