Travelled to:
1 × Australia
1 × Greece
1 × Slovenia
4 × USA
Collaborated with:
J.Shawe-Taylor C.Campbell T.D.Bie H.Lodhi T.Joachims A.J.Smola P.Sykacek T.Frieß T.M.Snowsill N.Fyson D.Wu K.P.Bennett G.R.G.Lanckriet P.L.Bartlett L.E.Ghaoui M.I.Jordan I.N.Flaounas O.Ali M.Turchi T.Snowsill F.Nicart
Talks about:
kernel (4) margin (3) learn (3) larg (3) classifi (2) transduct (1) hypertext (1) hyperplan (1) categoris (1) algorithm (1)
Person: Nello Cristianini
DBLP: Cristianini:Nello
Contributed to:
Wrote 9 papers:
- KDD-2011-SnowsillFBC #question
- Refining causality: who copied from whom? (TMS, NF, TDB, NC), pp. 466–474.
- SIGMOD-2011-FlaounasATSNBC #analysis #monitoring #named
- NOAM: news outlets analysis and monitoring system (INF, OA, MT, TS, FN, TDB, NC), pp. 1275–1278.
- ICML-2002-LanckrietCBGJ #kernel #learning #matrix #programming
- Learning the Kernel Matrix with Semi-Definite Programming (GRGL, NC, PLB, LEG, MIJ), pp. 323–330.
- ICML-2001-CristianiniSL #kernel #semantics
- Latent Semantic Kernels (NC, JST, HL), pp. 66–73.
- ICML-2001-JoachimsCS #categorisation #hypermedia #kernel
- Composite Kernels for Hypertext Categorisation (TJ, NC, JST), pp. 250–257.
- ICML-2000-CampbellCS #classification #learning #query #scalability
- Query Learning with Large Margin Classifiers (CC, NC, AJS), pp. 111–118.
- ICML-1999-WuBCS #induction #scalability
- Large Margin Trees for Induction and Transduction (DW, KPB, NC, JST), pp. 474–483.
- ICML-1998-CristianiniSS #classification #scalability
- Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space (NC, JST, PS), pp. 109–117.
- ICML-1998-FriessCC #algorithm #kernel #learning #performance
- The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines (TTF, NC, CC), pp. 188–196.