BibSLEIGH corpus
BibSLEIGH tags
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Finland
1 × Israel
1 × Slovenia
10 × USA
2 × Canada
2 × United Kingdom
Collaborated with:
U.Brefeld P.Haider S.Wrobel S.Bickel M.Brückner C.Sawade N.Landwehr S.Jaroszewicz K.Grabski T.Joachims U.Dick L.Dietz A.Zien D.S.Vogel O.Asparouhov R.Greiner C.Darken M.Großhans P.Prasse J.Bogojeska T.Lengauer T.Gärtner
Talks about:
learn (6) bayesian (3) regress (3) problem (3) predict (3) cluster (3) email (3) data (3) discoveri (2) adversari (2)

Person: Tobias Scheffer

DBLP DBLP: Scheffer:Tobias

Facilitated 1 volumes:

ICML 2011Ed

Contributed to:

ICML c3 20132013
ICML 20122012
KDD 20112011
ICML 20102010
ICML 20092009
ICML 20082008
ICML 20072007
KDD 20072007
ICML 20062006
KDD 20052005
ICML 20042004
SIGIR 20042004
ICML 20012001
ICML 20002000
KDD 20002000
ICML 19991999
ICML 19971997

Wrote 23 papers:

ICML-c3-2013-GrosshansSBS #game studies #problem
Bayesian Games for Adversarial Regression Problems (MG, CS, MB, TS), pp. 55–63.
ICML-2012-HaiderS #clustering #graph #using
Finding Botnets Using Minimal Graph Clusterings (PH, TS), p. 37.
ICML-2012-PrasseSLS #email #identification #learning #regular expression
Learning to Identify Regular Expressions that Describe Email Campaigns (PP, CS, NL, TS), p. 146.
KDD-2011-BrucknerS #game studies #predict #problem
Stackelberg games for adversarial prediction problems (MB, TS), pp. 547–555.
ICML-2010-SawadeLBS #estimation
Active Risk Estimation (CS, NL, SB, TS), pp. 951–958.
ICML-2009-HaiderS #clustering #detection #email
Bayesian clustering for email campaign detection (PH, TS), pp. 385–392.
ICML-2008-BickelBLS #learning #multi
Multi-task learning for HIV therapy screening (SB, JB, TL, TS), pp. 56–63.
ICML-2008-DickHS #infinity #learning #semistructured data
Learning from incomplete data with infinite imputations (UD, PH, TS), pp. 232–239.
ICML-2007-BickelBS #learning
Discriminative learning for differing training and test distributions (SB, MB, TS), pp. 81–88.
ICML-2007-DietzBS #predict
Unsupervised prediction of citation influences (LD, SB, TS), pp. 233–240.
ICML-2007-HaiderBS #clustering #detection #email #streaming
Supervised clustering of streaming data for email batch detection (PH, UB, TS), pp. 345–352.
Transductive support vector machines for structured variables (AZ, UB, TS), pp. 1183–1190.
KDD-2007-VogelAS #linear #scalability
Scalable look-ahead linear regression trees (DSV, OA, TS), pp. 757–764.
ICML-2006-BrefeldGSW #performance
Efficient co-regularised least squares regression (UB, TG, TS, SW), pp. 137–144.
ICML-2006-BrefeldS #learning
Semi-supervised learning for structured output variables (UB, TS), pp. 145–152.
KDD-2005-JaroszewiczS #network #performance
Fast discovery of unexpected patterns in data, relative to a Bayesian network (SJ, TS), pp. 118–127.
ICML-2004-BrefeldS #learning
Co-EM support vector learning (UB, TS).
Sentence completion (KG, TS), pp. 433–439.
ICML-2001-SchefferW #incremental #information management #problem
Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems (TS, SW), pp. 481–488.
ICML-2000-Scheffer #performance #predict
Predicting the Generalization Performance of Cross Validatory Model Selection Criteria (TS), pp. 831–838.
KDD-2000-SchefferW #algorithm
A sequential sampling algorithm for a general class of utility criteria (TS, SW), pp. 330–334.
ICML-1999-SchefferJ #analysis #fault
Expected Error Analysis for Model Selection (TS, TJ), pp. 361–370.
ICML-1997-SchefferGD #why
Why Experimentation can be better than “Perfect Guidance” (TS, RG, CD), pp. 331–339.

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.