Wray Buntine - Google Scholar Citations

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Du LanFaculty of Information Technology, Monash University, ClaytonVerified email at monash.edu
Aleks Jakulin1o IncVerified email at stat.columbia.edu
Stephen MuggletonImperial College LondonVerified email at imperial.ac.uk
Scott SannerUniversity of TorontoVerified email at mie.utoronto.ca
Tinne TuytelaarsKU Leuven - PSI, BelgiumVerified email at esat.kuleuven.be
Novi QuadriantoReader in Machine Learning, Predictive Analytics Lab (PAL), University of SussexVerified email at sussex.ac.uk
Tiberio CaetanoGradient InstituteVerified email at gradientinstitute.org
Bernd FischerComputer Science Division, Stellenbosch UniversityVerified email at cs.sun.ac.za
Petri MyllymakiProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Nan DingGoogleVerified email at google.com
Christoph H. LampertProfessor at IST AustriaVerified email at ist.ac.at
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
Edwin V. BonillaPrincipal Research Scientist, CSIRO's Data61Verified email at data61.csiro.au
David NewmanResearch Faculty, Computer Science, University of California IrvineVerified email at uci.edu
Petteri NurmiAssociate Professor, University of HelsinkiVerified email at cs.helsinki.fi
David StirlingSenior Lecturer School of Electrical, Computer and Telecommunications Engineering, University of WollongongVerified email at uow.edu.au
Marcus HutterResearcher@DeepMind & Professor at ANUVerified email at anu.edu.au
James PettersonPrincipal Data Scientist, IAGVerified email at nicta.com.au
Alex SmolaAmazon Web ServicesVerified email at smola.org
Hans-Jürgen BürckertDFKI GmbHVerified email at dfki.de

Wray Buntine

Professor, Monash

Verified email at monash.edu - Homepage

Machine Learning


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Theory refinement on Bayesian networks W Buntine Uncertainty Proceedings 1991, 52-60, 1991	953	1991
Neural networks and related methods for classification BD Ripley Journal of the Royal Statistical Society: Series B (Methodological) 56 (3 …, 1994	914	1994
Operations for learning with graphical models WL Buntine Journal of artificial intelligence research 2, 159-225, 1994	770	1994
Machine invention of first-order predicates by inverting resolution S Muggleton, W Buntine Machine Learning Proceedings 1988, 339-352, 1988	719	1988
A guide to the literature on learning probabilistic networks from data W Buntine IEEE Transactions on knowledge and data engineering 8 (2), 195-210, 1996	692	1996
Bayesian back-propagation WL Buntine, AS Weigend Complex systems 5 (6), 603-643, 1991	555	1991
Learning classification trees W Buntine Statistics and computing 2 (2), 63-73, 1992	549	1992
A further comparison of splitting rules for decision-tree induction W Buntine, T Niblett Machine Learning 8 (1), 75-85, 1992	389	1992
Improving lda topic models for microblogs via tweet pooling and automatic labeling R Mehrotra, S Sanner, W Buntine, L Xie Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013	351	2013
A theory of learning classification rules WL Buntine university of technology, sydney, 1990	330*	1990
Generalized subsumption and its applications to induction and redundancy W Buntine Artificial intelligence 36 (2), 149-176, 1988	317	1988
Unsupervised object discovery: A comparison T Tuytelaars, CH Lampert, MB Blaschko, W Buntine International journal of computer vision 88 (2), 284-302, 2010	218	2010
Variational extensions to EM and multinomial PCA W Buntine European Conference on Machine Learning, 23-34, 2002	203	2002
Method and system providing user with personalized recommendations by electronic-mail based upon the determined interests of the user pertain to the theme and concepts of the … J Oliver, R Baxter, W Buntine, S Waterhouse US Patent 7,158,986, 2007	175	2007
Improving topic coherence with regularized topic models D Newman, EV Bonilla, W Buntine Advances in neural information processing systems, 496-504, 2011	168	2011
Applying discrete PCA in data analysis W Buntine, A Jakulin Proceedings of the 20th conference on Uncertainty in artificial intelligence …, 2004	166	2004
System and method for adaptive text recommendation JJ Oliver, WL Buntine, G Roumeliotis US Patent 6,845,374, 2005	156*	2005
Computing second derivatives in feed-forward networks: A review WL Buntine, AS Weigend IEEE transactions on Neural Networks 5 (3), 480-488, 1994	153	1994
Discrete component analysis W Buntine, A Jakulin International Statistical and Optimization Perspectives Workshop" Subspace …, 2005	139	2005
Graphical Models for Discivering Knowledge. WL Buntine Advances in knowledge discovery and data mining, 59-82, 1996	119	1996

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