1987 …2022

Research output per year

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Research Output

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1987

Induction of Horn clauses: methods and the plausible generalization algorithm

Buntine, W., Apr 1987, In : International Journal of Man-Machine Studies. 26, 4, p. 499-519 21 p.

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)
1988

Generalized subsumption and its applications to induction and redundancy

Buntine, W., 1 Jan 1988, In : Artificial Intelligence. 36, 2, p. 149-176 28 p.

Research output: Contribution to journalArticleResearchpeer-review

117 Citations (Scopus)
1989

Inductive knowledge acquisition and induction methodologies

Buntine, W., 1 Jan 1989, In : Knowledge-Based Systems. 2, 1, p. 52-61 10 p.

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)
1991

Modelling default and likelihood reasoning as probabilistic reasoning

Buntine, W., 1 Mar 1991, In : Annals of Mathematics and Artificial Intelligence. 4, 1-2, p. 25-68 44 p.

Research output: Contribution to journalArticleResearchpeer-review

1992

A Further Comparison of Splitting Rules for Decision-Tree Induction

Buntine, W. & Niblett, T., 1 Jan 1992, In : Machine Learning. 8, 1, p. 75-85 11 p.

Research output: Contribution to journalArticleResearchpeer-review

156 Citations (Scopus)

Learning classification trees

Buntine, W., 1 Jun 1992, In : Statistics and Computing. 2, 2, p. 63-73 11 p.

Research output: Contribution to journalArticleResearchpeer-review

211 Citations (Scopus)
1994

Computing Second Derivatives in Feedforward Networks: A Review

Buntine, W. L. & Weigend, A. S., 1 Jan 1994, In : IEEE Transactions on Neural Networks. 5, 3, p. 480-488 9 p.

Research output: Contribution to journalArticleResearchpeer-review

60 Citations (Scopus)

On Solving Equations and Disequations

Buntine, W. L. & Bürckert, H. J., 7 Jan 1994, In : Journal of the ACM (JACM). 41, 4, p. 591-629 39 p.

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)
2001

Learning as applied to stochastic optimization for standard-cell placement

Su, L., Buntine, W., Newton, A. R. & Peters, B. S., 1 Apr 2001, In : IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 20, 4, p. 516-527 12 p.

Research output: Contribution to journalArticleResearchpeer-review

8 Citations (Scopus)
2009

Analyzing the U.S. Senate in 2003: similarities, clusters, and blocs

Jakulin, A., Buntine, W. L., LaPira, T. M. & Brasher, H., 2009, In : Political Analysis. 17, p. 291 - 310 20 p.

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)
2010

A segmented topic model based on the two-parameter Poisson-Dirichlet process

Du, L., Buntine, W. L. & Jin, H., 2010, In : Machine Learning. 81, 1, p. 5 - 19 15 p.

Research output: Contribution to journalArticleResearchpeer-review

49 Citations (Scopus)

Unsupervised object discovery: a comparison

Tuytelaars, T., Lampert, C. H., Blaschko, M. B. & Buntine, W. L., 2010, In : International Journal of Computer Vision. 88, 2, p. 284 - 302 19 p.

Research output: Contribution to journalArticleResearchpeer-review

137 Citations (Scopus)
2012

Sequential latent Dirichlet allocation

Du, L., Buntine, W. L., Jin, H. & Chen, C., 2012, In : Knowledge and Information Systems. 31, 3, p. 475 - 503 29 p.

Research output: Contribution to journalArticleResearchpeer-review

22 Citations (Scopus)
2015

Differential topic models

Chen, C., Buntine, W., Ding, N., Xie, L. & Du, L., Feb 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 2, p. 230 - 242 13 p.

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)
2016

Bibliographic analysis on research publications using authors, categorical labels and the citation network

Lim, K. W. & Buntine, W., 1 May 2016, In : Machine Learning. 103, 2, p. 185-213 29 p.

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Nonparametric Bayesian topic modelling with the hierarchical Pitman–Yor processes

Lim, K. W., Buntine, W., Chen, C. & Du, L., 1 Nov 2016, In : International Journal of Approximate Reasoning. 78, p. 172-191 20 p.

Research output: Contribution to journalArticleResearchpeer-review

10 Citations (Scopus)

Towards a methodology for nursing-specific clinical decision support systems (CDSS)

Ahamed, T., Lederman, R., Bosua, R., Verspoor, K., Buntine, W. & Hart, G., 10 Jun 2016, In : Journal of Decision Systems. 25, S1, p. 23-34 12 p.

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)
2017

Efficient parameter learning of Bayesian network classifiers

Zaidi, N. A., Webb, G. I., Carman, M., Petitjean, F., Buntine, W., Hynes, M. & De Sterck, H., 2017, In : Machine Learning. 106, 9-10, p. 1289-1329 41 p.

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)
2018

Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes

Petitjean, F., Buntine, W., Webb, G. I. & Zaidi, N., Sep 2018, In : Machine Learning. 107, 8-10, p. 1303-1331 29 p.

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Experiments with learning graphical models on text

Capdevila, J., Zhao, E., Petitjean, F. & Buntine, W. L., 1 Oct 2018, In : Behaviormetrika. 45, 2, p. 363-387 25 p.

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)
2019

Leveraging external information in topic modelling

Zhao, H., Du, L., Buntine, W. & Liu, G., 2019, In : Knowledge and Information Systems. 61, 2, p. 661-693 33 p.

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)
2020

Bayesian network classifiers using ensembles and smoothing

Zhang, H., Petitjean, F. & Buntine, W., 30 Mar 2020, (Accepted/In press) In : Knowledge and Information Systems. 24 p.

Research output: Contribution to journalArticleResearchpeer-review