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Travelled to:
1 × Finland
1 × Germany
1 × India
1 × Italy
2 × Australia
5 × USA
Collaborated with:
V.Sindhwani W.Chu C.Lin K.R.K.Murthy C.S.Sundaresan C.J.Ong C.Hsieh K.Chang S.Sundararajan R.C.Weng O.Chapelle K.Duan S.K.Shevade A.N.Poo V.Nair A.Raul S.Khanduja V.Bahirwani S.Sellamanickam S.Herbert S.Dhulipalla M.Shi D.S.Edwin R.Menon L.Shen J.Y.K.Lim H.T.Loh
Talks about:
regress (4) scale (4) larg (4) method (3) linear (3) svms (3) dual (3) supervis (2) approach (2) support (2)

Person: S. Sathiya Keerthi

DBLP DBLP: Keerthi:S=_Sathiya

Contributed to:

KDD 20152015
ICML 20082008
KDD 20082008
ICML 20072007
ICML 20062006
SIGIR 20062006
ICML 20052005
ECIR 20032003
ICML 20022002
ICML 20012001
ICDAR 19991999

Wrote 13 papers:

KDD-2015-NairRKBSKHD #detection #learning #monitoring
Learning a Hierarchical Monitoring System for Detecting and Diagnosing Service Issues (VN, AR, SK, VB, SS, SSK, SH, SD), pp. 2029–2038.
ICML-2008-HsiehCLKS #coordination #linear #scalability
A dual coordinate descent method for large-scale linear SVM (CJH, KWC, CJL, SSK, SS), pp. 408–415.
KDD-2008-KeerthiSCHL #linear #multi #scalability
A sequential dual method for large scale multi-class linear svms (SSK, SS, KWC, CJH, CJL), pp. 408–416.
ICML-2007-LinWK #scalability #trust
Trust region Newton methods for large-scale logistic regression (CJL, RCW, SSK), pp. 561–568.
ICML-2006-SindhwaniKC #kernel
Deterministic annealing for semi-supervised kernel machines (VS, SSK, OC), pp. 841–848.
SIGIR-2006-SindhwaniK #linear #scalability
Large scale semi-supervised linear SVMs (VS, SSK), pp. 477–484.
ICML-2005-ChuK
New approaches to support vector ordinal regression (WC, SSK), pp. 145–152.
ICML-2005-Keerthi #classification #effectiveness #feature model
Generalized LARS as an effective feature selection tool for text classification with SVMs (SSK), pp. 417–424.
ECIR-2003-ShiEMSLLKO #approach #machine learning
A Machine Learning Approach for the Curation of Biomedical Literature (MS, DSE, RM, LS, JYKL, HTL, SSK, CJO), pp. 597–604.
ICML-2002-KeerthiDSP #algorithm #kernel #performance
A Fast Dual Algorithm for Kernel Logistic Regression (SSK, KD, SKS, ANP), pp. 299–306.
ICML-2001-ChuKO #framework
A Unified Loss Function in Bayesian Framework for Support Vector Regression (WC, SSK, CJO), pp. 51–58.
ICDAR-1999-MurthyK #information management
Context Filters for Document-based Information Filtering (KRKM, SSK), pp. 709–712.
ICDAR-1999-SundaresanK #case study #recognition
A Study of Representations for Pen based Handwriting Recognition of Tamil Characters (CSS, SSK), pp. 422–425.

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