BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Australia
1 × China
1 × Finland
1 × France
1 × Germany
1 × Israel
1 × Taiwan
4 × Canada
6 × USA
Collaborated with:
M.Mohri D.Pregibon A.Rastogi A.Rostamizadeh C.Allauzen V.Kuznetsov U.Syed L.D.Jackel H.Drucker V.Vapnik A.M.Medina J.Weston W.Chiang D.Pechyony K.Fisher A.Rogers D.Hoover W.DuMouchel C.Volinsky T.Johnson Y.LeCun
Talks about:
kernel (7) algorithm (6) learn (6) automata (3) general (3) probabilist (2) transduct (2) structur (2) regress (2) predict (2)

Person: Corinna Cortes

DBLP DBLP: Cortes:Corinna

Contributed to:

ICML 20152015
KDD 20152015
ICML c2 20142014
ICML c3 20132013
CIAA 20102010
CIAA 20102011
ICML 20102010
ICML 20092009
ICML 20082008
ICML 20072007
CIAA 20062006
CIAA 20062007
ICML 20052005
ICML 20042004
KDD 20002000
KDD 19991999
KDD 19981998
KDD 19951995
ICML 19941994

Wrote 23 papers:

ICML-2015-CortesKMS #modelling
Structural Maxent Models (CC, VK, MM, US), pp. 391–399.
KDD-2015-CortesMM #adaptation #algorithm
Adaptation Algorithm and Theory Based on Generalized Discrepancy (CC, MM, AMM), pp. 169–178.
ICML-c2-2014-CortesKM #predict
Ensemble Methods for Structured Prediction (CC, VK, MM), pp. 1134–1142.
Deep Boosting (CC, MM, US), pp. 1179–1187.
ICML-c3-2013-CortesMR #classification #kernel #multi
Multi-Class Classification with Maximum Margin Multiple Kernel (CC, MM, AR), pp. 46–54.
CIAA-2010-AllauzenCM #automaton #kernel #scalability
Large-Scale Training of SVMs with Automata Kernels (CA, CC, MM), pp. 17–27.
CIAA-J-2010-AllauzenCM11 #algorithm #coordination #kernel
A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels (CA, CC, MM), pp. 1761–1779.
ICML-2010-CortesMR #algorithm #kernel #learning
Two-Stage Learning Kernel Algorithms (CC, MM, AR), pp. 239–246.
ICML-2010-CortesMR10a #bound #kernel #learning
Generalization Bounds for Learning Kernels (CC, MM, AR), pp. 247–254.
ICML-2009-Cortes #kernel #learning #performance #question
Invited talk: Can learning kernels help performance? (CC), p. 1.
ICML-2008-CortesMPR #algorithm
Stability of transductive regression algorithms (CC, MM, DP, AR), pp. 176–183.
ICML-2007-CortesMR #algorithm #ranking
Magnitude-preserving ranking algorithms (CC, MM, AR), pp. 169–176.
CIAA-2006-CortesMR #automaton #on the #probability #standard
On the Computation of Some Standard Distances Between Probabilistic Automata (CC, MM, AR), pp. 137–149.
CIAA-J-2006-CortesMR07 #automaton #distance #equivalence #probability
LP Distance and Equivalence of Probabilistic Automata (CC, MM, AR), pp. 761–779.
ICML-2005-CortesMW #learning
A general regression technique for learning transductions (CC, MM, JW), pp. 153–160.
ICML-2004-CortesM #kernel
Distribution kernels based on moments of counts (CC, MM).
KDD-2000-CortesFPR #data type #named
Hancock: a language for extracting signatures from data streams (CC, KF, DP, AR), pp. 9–17.
KDD-1999-CortesP #agile #deployment #framework #mining #platform
Information Mining Platforms: An Infrastructure for KDD Rapid Deployment (CC, DP), pp. 327–331.
Squashing Flat Files Flatter (WD, CV, TJ, CC, DP), pp. 6–15.
Giga-Mining (CC, DP), pp. 174–178.
KDD-1995-CortesDHV #capacity #complexity #predict
Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates (CC, HD, DH, VV), pp. 51–56.
KDD-1995-CortesJC #learning #quality
Limits on Learning Machine Accuracy Imposed by Data Quality (CC, LDJ, WPC), pp. 57–62.
ICML-1994-DruckerCJCV #algorithm #machine learning
Boosting and Other Machine Learning Algorithms (HD, CC, LDJ, YL, VV), pp. 53–61.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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