Padhraic Smyth 个人学术档案

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引用	67646	16433
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i10 指数	234	144

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Mark SteyversUniversity of California, Irvine在 uci.edu 的电子邮件经过验证
Alexander IhlerUniversity of California, Irvine在 ics.uci.edu 的电子邮件经过验证
Andrew W. Robertson, PhDResearch Scientist at International Research Institute for Climate and Society (IRI), The Earth Institute, Columbia University在 iri.columbia.edu 的电子邮件经过验证
David NewmanResearch Faculty, Computer Science, University of California Irvine在 uci.edu 的电子邮件经过验证
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of Amsterdam在 uva.nl 的电子邮件经过验证
Chaitanya ChemuduguntaDirector of Science, Pandora在 ics.uci.edu 的电子邮件经过验证
Pietro PeronaCalifornia Institute of Technology在 caltech.edu 的电子邮件经过验证
Michael C. BurlPrincipal Member of Technical Staff, Jet Propulsion Laboratory在 jpl.nasa.gov 的电子邮件经过验证
Michael GhilDistinguished Research Professor, UCLA, and Distinguished Professor Emeritus, ENS在 atmos.ucla.edu 的电子邮件经过验证
Darya ChudovaVP of Technology, Guardant Health在 guardanthealth.com 的电子邮件经过验证
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton University在 princeton.edu 的电子邮件经过验证
Hal SternProfessor of Statistics, University of California, Irvine在 uci.edu 的电子邮件经过验证
Christopher DuBoisApple在 apple.com 的电子邮件经过验证
Pierre BaldiProfessor, University of California, Irvine在 ics.uci.edu 的电子邮件经过验证
Suzana J. CamargoMarie Tharp Lamont Research Professor, Lamont-Doherty Earth Observatory, Columbia University在 ldeo.columbia.edu 的电子邮件经过验证
David HeckermanMicrosoft Research在 microsoft.com 的电子邮件经过验证
Seyoung KimAssociate Professor, Department of Epidemiology, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
Dmitry PavlovVP Advertising Technology Walmart Labs在 walmartlabs.com 的电子邮件经过验证
Michael J. PazzaniDistinguished Principal Scientist在 isi.edu 的电子邮件经过验证
David C AtkinsLyssn.io, Inc. // BRiTE Center, University of Washington在 u.washington.edu 的电子邮件经过验证

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Padhraic Smyth

Distinguished Professor, Computer Science, University of California Irvine

在 ics.uci.edu 的电子邮件经过验证 - 首页

machine learning artificial intelligence pattern recognition statistics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
From data mining to knowledge discovery: An overview. UM Fayyad, G Piatetsky-Shapiro, P Smyth Advances in Knowledge Discovery and Data Mining, 1-34, 1996	20397*	1996
Principles of Data Mining DJ Hand, H Mannila, P Smyth MIT Press, 2001	9312*	2001
Advances in Knowledge Discovery and Data Mining UM Fayyad, G Piatetsky-Shapiro, P Smyth, R Uthurusamy MIT Press, 1996	7279	1996
The KDD process for extracting useful knowledge from volumes of data U Fayyad, G Piatetsky-Shapiro, P Smyth Communications of the ACM 39 (11), 27-34, 1996	3610	1996
The author-topic model for authors and documents M Rosen-Zvi, T Griffiths, M Steyvers, P Smyth Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence …, 2004	2167*	2004
Knowledge discovery and data mining: towards a unifying framework. UM Fayyad, G Piatetsky-Shapiro, P Smyth ACM Conference on Knowledge Discovery and Data Mining (KDD) 96, 82-88, 1996	1961	1996
Rule discovery from time series G Das, KI Lin, H Mannila, G Renganathan, P Smyth KDD 98 (1), 16-22, 1998	1044	1998
Probabilistic author-topic models for information discovery M Steyvers, P Smyth, M Rosen-Zvi, T Griffiths Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004	886	2004
A spectral clustering approach to finding communities in graphs S White, P Smyth Proceedings of the 2005 SIAM international conference on data mining, 274-285, 2005	841	2005
On smoothing and inference for topic models A Asuncion, M Welling, P Smyth, YW Teh Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial …, 2009	819	2009
Fast collapsed Gibbs sampling for latent Dirichlet allocation I Porteous, D Newman, A Ihler, A Asuncion, P Smyth, M Welling Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	802	2008
Clustering sequences with hidden Markov models P Smyth Advances in neural information processing systems 9, 1996	696	1996
Trajectory clustering with mixtures of regression models S Gaffney, P Smyth Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	681	1999
Algorithms for estimating relative importance in networks S White, P Smyth Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	587	2003
Distributed algorithms for topic models. D Newman, A Asuncion, P Smyth, M Welling Journal of Machine Learning Research 10 (8), 2009	569	2009
Modeling the Internet and the Web: Probabilistic Methods and Algorithms P Baldi, P Frasconi, P Smyth Modeling the Internet and the Web: Probabilistic Methods and Algorithms, 2003	530*	2003
An information theoretic approach to rule induction from databases P Smyth, RM Goodman IEEE transactions on Knowledge and data engineering 4 (4), 301-316, 1992	515	1992
Visualization of navigation patterns on a web site using model-based clustering I Cadez, D Heckerman, C Meek, P Smyth, S White Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	494	2000
Hidden Markov models for fault detection in dynamic systems P Smyth Pattern recognition 27 (1), 149-164, 1994	469	1994
Probabilistic independence networks for hidden Markov probability models P Smyth, D Heckerman, MI Jordan Neural computation 9 (2), 227-269, 1997	456	1997

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