Robert C. Williamson

Citado por

	Todos	Desde 2019
Citações	29949	12022
Índice h	56	32
Índice i10	123	63

2200

1100

550

1650

199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202484 124 213 212 256 337 477 549 703 855 815 834 970 1034 958 1080 1211 1266 1285 1367 1304 1507 1573 1934 2120 2176 2196 2020

Acesso público

Ver tudo

24 artigos

0 artigos

disponível

não disponível

Com base em autorizações de financiamento

Coautores

Alex SmolaBoson AIEmail confirmado em smola.org
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail confirmado em tuebingen.mpg.de
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyEmail confirmado em cs.berkeley.edu
John Shawe-TaylorUCLEmail confirmado em cs.ucl.ac.uk
Rodney A. KennedyEmeritus Professor, Australian National UniversityEmail confirmado em anu.edu.au
Mark D. ReidAppleEmail confirmado em reid.name
John C. PlattGoogleEmail confirmado em google.com
Aditya Krishna MenonResearch Scientist, GoogleEmail confirmado em google.com
Ralf HerbrichHasso Plattner InstituteEmail confirmado em hpi.de
Cheng Soon OngData61, CSIRO, CanberraEmail confirmado em anu.edu.au
Jyrki KivinenProfessor of Computer Science, University of HelsinkiEmail confirmado em cs.helsinki.fi
Eric A. LehmannCSIRO Data61Email confirmado em csiro.au
Iven MareelsFederation University AustraliaEmail confirmado em federation.edu.au
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeEmail confirmado em comp.nus.edu.sg
Thushara AbhayapalaProfessor, Research School of Engineering, Australian National UniversityEmail confirmado em anu.edu.au
Brian AndersonAustralian National UniversityEmail confirmado em anu.edu.au
Peter J. KootsookosCT State Community College, MiddlesexEmail confirmado em ieee.org
Richard NockGoogle ResearchEmail confirmado em uniagro.fr
Brian C. LovellProfessor, The University of QueenslandEmail confirmado em itee.uq.edu.au
William SetharesProfessor of Electrical Engineering, University of WisconsinEmail confirmado em wisc.edu

Seguir

Robert C. Williamson

University of Tübingen

Email confirmado em uni-tuebingen.de - Página inicial

machine learning learning theory imprecise probability risk measures


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Estimating the support of a high-dimensional distribution B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson Neural computation 13 (7), 1443-1471, 2001	7531	2001
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3597	2000
Support vector method for novelty detection B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt Advances in neural information processing systems 12, 1999	3177	1999
A Generalized Representer Theorem B Scholkopf, R Herbrich, A Smola, R Williamson	2351	2000
Online learning with kernels J Kivinen, AJ Smola, RC Williamson IEEE transactions on signal processing 52 (8), 2165-2176, 2004	1389	2004
Structural risk minimization over data-dependent hierarchies J Shawe-Taylor, PL Bartlett, RC Williamson, M Anthony IEEE transactions on Information Theory 44 (5), 1926-1940, 1998	752	1998
Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds RC Williamson, T Downs International journal of approximate reasoning 4 (2), 89-158, 1990	544	1990
The cost of fairness in binary classification AK Menon, RC Williamson Conference on Fairness, accountability and transparency, 107-118, 2018	514	2018
Clustering: Science or art? U von Luxburg, R Williamson, I Guyon Journal of Machine Learning Research 27, 65-80, 2012	512*	2012
Learning the kernel with hyperkernels CS Ong, A Smola, B Williamson Journal of Machine Learning Research 6, 1045-1071, 2005	473	2005
Particle filtering algorithms for tracking an acoustic source in a reverberant environment DB Ward, EA Lehmann, RC Williamson IEEE Transactions on speech and audio processing 11 (6), 826-836, 2003	445	2003
Theory and design of broadband sensor arrays with frequency invariant far‐field beam patterns DB Ward, RA Kennedy, RC Williamson The Journal of the Acoustical Society of America 97 (2), 1023-1034, 1995	396	1995
Learning with symmetric label noise: The importance of being unhinged B Van Rooyen, A Menon, RC Williamson Advances in neural information processing systems 28, 2015	367	2015
A PAC analysis of a Bayesian estimator J Shawe-Taylor, RC Williamson Proceedings of the tenth annual conference on Computational learning theory, 2-9, 1997	307	1997
The need for open source software in machine learning S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ... JMLR 8, 2443-2466, 2007	283	2007
Learning from corrupted binary labels via class-probability estimation A Menon, B Van Rooyen, CS Ong, B Williamson International conference on machine learning, 125-134, 2015	277	2015
Shrinking the tube: a new support vector regression algorithm B Schölkopf, P Bartlett, A Smola, RC Williamson Advances in neural information processing systems 11, 1998	264	1998
Composite binary losses MD Reid, RC Williamson The Journal of Machine Learning Research 11, 2387-2422, 2010	261	2010
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators RC Williamson, AJ Smola, B Scholkopf IEEE transactions on Information Theory 47 (6), 2516-2532, 2001	231	2001
Information, Divergence and Risk for Binary Experiments. MD Reid, RC Williamson Journal of Machine Learning Research 12 (3), 2011	229	2011

O sistema não pode efectuar a operação agora. Tente mais tarde.

Artigos 1–20

Citações por ano

Citações duplicadas

Citações unidas

Adicionar coautoresCoautores

Seguir

Citado por

Coautores