Padhraic Smyth

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Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Alexander IhlerUniversity of California, IrvineVerified email at ics.uci.edu
Andrew W. Robertson, PhDResearch Scientist at International Research Institute for Climate and Society (IRI), The Earth Institute, Columbia UniversityVerified email at iri.columbia.edu
David NewmanResearch Faculty, Computer Science, University of California IrvineVerified email at uci.edu
Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Chaitanya ChemuduguntaDirector of Science, PandoraVerified email at ics.uci.edu
Michael C. BurlPrincipal Member of Technical Staff, Jet Propulsion LaboratoryVerified email at jpl.nasa.gov
Pietro PeronaCalifornia Institute of TechnologyVerified email at caltech.edu
Michael GhilDistinguished Research Professor, UCLA, and Distinguished Professor Emeritus, ENSVerified email at atmos.ucla.edu
Darya ChudovaVP of Technology, Guardant HealthVerified email at guardanthealth.com
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Sergey KirshnerApplied Scientist, AmazonVerified email at amazon.com
Hal SternProfessor of Statistics, University of California, IrvineVerified email at uci.edu
Christopher DuBoisAppleVerified email at apple.com
David HeckermanMicrosoft ResearchVerified email at microsoft.com
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Suzana J. CamargoMarie Tharp Lamont Research Professor, Lamont-Doherty Earth Observatory, Columbia UniversityVerified email at ldeo.columbia.edu
Seyoung KimAssociate Professor of Computational Biology, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Dmitry PavlovVP Advertising Technology Walmart LabsVerified email at walmartlabs.com
Michael J. PazzaniPrincipal ScientistVerified email at isi.edu

Padhraic Smyth

Professor, Computer Science, University of California Irvine

Verified email at ics.uci.edu - Homepage

machine learning artificial intelligence pattern recognition applied statistics


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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	19626*	1996
Principles of Data Mining DJ Hand, H Mannila, P Smyth MIT Press, 2001	7328*	2001
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	3454	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	2060*	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	1861	1996
Rule discovery from time series G Das, KI Lin, H Mannila, G Renganathan, P Smyth KDD 98 (1), 16-22, 1998	1037	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	865	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	816	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	786	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	766	2008
Clustering sequences with hidden Markov models P Smyth Advances in neural information processing systems 9, 1996	670	1996
Trajectory clustering with mixtures of regression models S Gaffney, P Smyth Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999	658	1999
Algorithms for estimating relative importance in networks S White, P Smyth Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	573	2003
Distributed algorithms for topic models. D Newman, A Asuncion, P Smyth, M Welling Journal of Machine Learning Research 10 (8), 2009	531	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	520*	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	517	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	485	2000
Probabilistic independence networks for hidden Markov probability models P Smyth, D Heckerman, MI Jordan Neural computation 9 (2), 227-269, 1997	459	1997
Hidden Markov models for fault detection in dynamic systems P Smyth Pattern recognition 27 (1), 149-164, 1994	448	1994
Statistical topic models for multi-label document classification TN Rubin, A Chambers, P Smyth, M Steyvers Machine learning 88, 157-208, 2012	428	2012

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