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Research Output 1987 2019

2019

A left-to-right algorithm for likelihood estimation in gamma-poisson factor analysis

Capdevila, J., Cerquides, J., Torres, J., Petitjean, F. & Buntine, W., 2019, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018 Dublin, Ireland, September 10–14, 2018 Proceedings, Part II. Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N. & Ifrim, G. (eds.). Cham Switzerland: Springer, p. 638-654 17 p. (Lecture Notes in Computer Science ; vol. 11052 ).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Leveraging external information in topic modelling

Zhao, H., Du, L., Buntine, W. & Liu, G., 2019, (Accepted/In press) In : Knowledge and Information Systems. p. 1-33 33 p.

Research output: Contribution to journalArticleResearchpeer-review

Leveraging meta information in short text aggregation

Zhao, H., Du, L., Liu, G. & Buntine, W., Jul 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Korhonen, A., Traum, D. & Màrquez, L. (eds.). Florence Italy: Association for Computational Linguistics (ACL), p. 4042-4049 8 p. P19-1396

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
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

Adaptive knowledge sharing in multi-task learning: improving low-resource neural machine translation

Zaremoodi, P., Buntine, W. & Haffari, G., 2018, ACL 2018 - The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). Gurevych, I. & Miyao, Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 656-661 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences

Zhao, H., Rai, P., Du, L. & Buntine, W., 2018, 2018 Twenty-First International Conference on Artificial Intelligence and Statistics, AISTATS 2018 : 9-11 April 2018, Lanzarote, Canary Islands, Proceedings . Storkey, A. & Perez-Cruz, F. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 1943-1951 9 p. (Proceedings of Machine Learning Research; vol. 84).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access

Dirichlet belief networks for topic structure learning

Zhao, H., Du, L., Buntine, W. & Zhou, M., 2018, NIPS Proceedings: Advances in Neural Information Processing Systems 31 (NIPS 2018). Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). San Diego CA USA: Neural Information Processing Systems (NIPS), p. 7966-7977 12 p.

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Open Access
File

Experiments with learning graphical models on text

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

Research output: Contribution to journalArticleResearchpeer-review

Inter and intra topic structure learning with word embeddings

Zhao, H., Du, L., Buntine, W. & Zhou, M., 2018, Proceedings of Machine Learning Research: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden. Dy, J. & Krause, A. (eds.). Stockholmsmässan Stockholm Sweden: Proceedings of Machine Learning Research (PMLR), Vol. 80. 10 p. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Learning how to actively learn: a deep imitation learning approach

Liu, M., Buntine, W. & Haffari, G., 2018, ACL 2018 - The 56th Annual Meeting of the Association for Computational Linguistics: Proceedings of the Conference, Vol. 1 (Long Papers). Gurevych, I. & Miyao, Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 1874-1883 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Learning to actively learn neural machine translation

Liu, M., Buntine, W. & Haffari, G., 2018, CoNLL 2018 - The 22nd Conference on Computational Natural Language Learning - Proceedings of the Conference. Silfverberg, M. (ed.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 334-344 11 p. (CoNLL 2018 - 22nd Conference on Computational Natural Language Learning, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Supplementary material for "Inter and Intra topic structure learning with word embeddings"

Zhao, H., Du, L., Buntine, W. & Zhou, M., 2018, Proceedings of Machine Learning Research: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden. Dy, J. & Krause, A. (eds.). Stockholmsmässan Stockholm Sweden: International Machine Learning Society (IMLS), Vol. 80. p. 9398-9404 7 p. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Open Access
File
2017

A Word Embeddings Informed Focused Topic Model

Zhao, H., Du, L. & Buntine, W., 2017, 2017 Ninth Asian Conference on Machine Learning, ACML 2017: 15-17 November 2017, Seoul, Korea, Proceedings. Zhang, M-L. & Noh, Y-K. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 423-438 16 p. (Proceedings of Machine Learning Research; vol. 77).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Open Access

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

Leveraging linguistic resources for improving neural text classification

Liu, M., Haffari, G., Buntine, W. & Ananda-Rajah, M., 2017, Australasian Language Technology Association Workshop, ALTA 2017: 6–8 December 2017, Brisbane, Australia, Proceedings . Wong, J. S-M. & Haffari, G. (eds.). 2017 ed. Melbourne Victoria Australia: Australian Language Technology Association (ALTA), Vol. 15. p. 34-42 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Leveraging node attributes for incomplete relational data

Zhao, H., Du, L. & Buntine, W., 2017, International Conference on Machine Learning, 6-11 August 2017, International Convention Centre, Sydney, Australia. Precup, D. & Teh, Y. W. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 4072-4081 10 p. (Proceedings of Machine Learning Research; vol. 70).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Leveraging node attributes for incomplete relational data

Zhao, H., Du, L. & Buntine, W., 6 Aug 2017, 34th International Conference on Machine Learning (ICML 2017): Sydney, Australia - 6-11 August 2017. Precup, D. & Teh, Y. W. (eds.). Stroudsburg PA USA: International Machine Learning Society (IMLS), Vol. 8. p. 6176-6185 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

MetaLDA: A topic model that efficiently incorporates meta information

Zhao, H., Du, L., Buntine, W. & Liu, G., 15 Dec 2017, Proceedings - 17th IEEE International Conference on Data Mining, ICDM 2017. Raghavan, V., Aluru, S., Karypis, G., Miele, L. & Wu, X. (eds.). Piscataway USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-November. p. 635-644 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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

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

PULP: A system for exploratory search of scientific literature

Medlar, A., Ilves, K., Wang, P., Buntine, W. & Głowacka, D., 7 Jul 2016, Proceedings of the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016). Aslam, J., Ruthven, I. & Zobel, J. (eds.). New York, NY, USA: Association for Computing Machinery (ACM), p. 1133-1136 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Research on domain-oriented latent policy lineage mining method

Liu, G., Buntine, W., Yang, X. & Fu, W., 29 Feb 2016, Eighth International Conference on Internet Computing for Science and Engineering (ICICSE 2015): 6-8 November 2015, Harbin, China, Proceedings. Ni, J. (ed.). Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers, p. 91-97 7 p. 7422463

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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

2015

A fusion of predicate logic and document semantic distance method orientated on data and context mapping

Liu, G., Sun, S., Buntine, W. & Yang, X., 2015, Proceedings of 2015 4th International Conference on Computer Science and Network Technology, ICCSNT 2015: December 19-20, 2015 Harbin, China. Guo, L. (ed.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 645-651 7 p. 2541

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

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

Introduction: Special issue of selected papers of ACML 2013

Ong, C. S., Buntine, W., Ho, T-B., Sugiyama, M. & Webb, G. I., 1 May 2015, In : Machine Learning. 99, 2, p. 165-167 3 p.

Research output: Contribution to journalEditorialOtherpeer-review

2014

Bibliographic analysis with the citation network topic model

Lim, K. W. & Buntine, W. L., 2014, Proceedings of the Sixth Asian Conference on Machine Learning (ACML 2014). Li, H. & Phung, D. (eds.). Journal of Machine Learning Research (Online) USA: JMLR Workshop and Conference Proceedings, p. 142 - 158 17 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Experiments with non-parametric topic models

Buntine, W. L. & Mishra, S., 2014, KDD'14: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Leskovec, J. & Wang, W. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 881 - 890 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Twitter opinion topic model: Extracting product opinions from tweets by leveraging hashtags and sentiment lexicon

Lim, K. W. & Buntine, W. L., 2014, Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM'14). Garofalakis, M., Soboroff, I., Suel, T. & Wang, M. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1319 - 1328 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2013

Dependent normalized random measures

Chen, C., Rao, V., Buntine, W. & Teh, Y. W., 2013, Proceedings of the 30th International Conference on Machine Learning (ICML 2013): June 16 – June 21, 2013, Atlanta, Georgia, USA. Dasgupta, S. & McAllester, D. (eds.). International Machine Learning Society (IMLS), p. 2006-2014 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Improving LDA topic models for microblogs via tweet pooling and automatic labeling

Mehrotra, R., Sanner, S. P., Buntine, W. L. & Xie, L., 2013, Proceedings of the 36th International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR 2013). Kelly, D., de Rijke, M. & Sakai, T. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 889 - 892 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Introduction: Special issue of selected papers of ACML 2012

Zhou, Z-H., Lee, W. S., Hoi, S. C. H., Buntine, W. & Motoda, H., Sep 2013, In : Machine Learning. 92, 2-3, p. 221-223 3 p.

Research output: Contribution to journalEditorialOtherpeer-review

Introduction to the special issue on social web mining

Bonchi, F., Buntine, W., Gavalda, R. & Guo, S., Dec 2013, In : ACM Transactions on Intelligent Systems and Technology. 5, 1, 2542187.

Research output: Contribution to journalEditorialOther

Topic Segmentation with a Structured Topic Model

Du, L., Buntine, W. L. & Johnson, M., 2013, Proceedings of NAACL-HLT 2013. Daume III, H. & Kirchoff, K. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 190 - 200 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2012

Dependent hierarchical normalized random measures for dynamic topic modeling

Chen, C., Ding, N. & Buntine, W. L., 2012, Proceedings of the 29th International Conference on Machine Learning (ICML 2012). Langford, J. & Pineau, J. (eds.). Edinburgh Scotland UK: Journal of Machine Learning Research (JMLR), p. 895 - 902 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Modelling sequential text with an adaptive topic model

Du, L., Buntine, W. L. & Jin, H., 2012, 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL 2012): Proceedings of the Conference. Henderson, J. & Pasca, M. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 535 - 545 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Preface

Hoi, S. C. H. & Buntine, W., 2012, In : Journal of Machine Learning Research. 25

Research output: Contribution to journalEditorialResearchpeer-review

Preface: Demo session

Van Leeuwen, M., Bonchi, F., Berlingerio, M., Buntine, W. L., Trasarti, R., Raïssi, C., Chau, D. H., Morik, K., Berendt, B. & Ukkonen, A., 2012, Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Score-based Bayesian skill learning

Guo, S., Sanner, S. P., Graepel, T. & Buntine, W. L., 2012, Machine Learning and Knowledge Discovery in Databases. Flach, P. A., De Bie, T. & Cristianini, N. (eds.). Heidelberg Germany: Springer, p. 106 - 121 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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

2011

Improving topic coherence with regularized topic models

Newman, D., Bonilla, E. V. & Buntine, W. L., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011 (NIPS 2011): Volume 1 of 3. Shawe-Taylor, J., Zemel, R., Bartlett, P. & Pereira, F. (eds.). LaJolla CA USA: Neural Information Processing Systems (NIPS), p. 1 - 9 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Sampling table configurations for the hierarchical poisson-dirichlet process

Chen, C., Du, L. & Buntine, W. L., 2011, European Conference on Machine Learning Knowledge Discovery in Databases (ECML PKDD 2011). Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). Berlin Germany: Springer-Verlag London Ltd., p. 296 - 311 16 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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

Bayesian networks on dirichlet distributed vectors

Buntine, W. L., Du, L. & Nurmi, P., 2010, Proceedings of the Fifth European Workshop on Probabilistic Graphical Models. Myllymaki, P., Roos, T. & Jaakkola, T. (eds.). Helsinki Finland: Helsinki Institute for Information Technology, p. 33 - 40 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Sequential latent dirichlet allocation: Discover underlying topic structures within a document

Du, L., Buntine, W. L. & Jin, H., 2010, Proceedings of the 10th IEEE International Conference on Data Mining. Webb, G. I., Liu, B., Zhang, C., Gunopulos, D. & Wu, X. (eds.). Los Alamitos CA USA: IEEE, Institute of Electrical and Electronics Engineers, p. 148 - 157 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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

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

Estimating likelihoods for topic models

Buntine, W. L., 2009, Advances in Machine Learning: First Asian Conference on Machine Learning, ACML 2009, Proceedings. Zhou, Z-H. & Washio, T. (eds.). Berlin Germany: Springer-Verlag London Ltd., p. 51 - 64 14 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Guest editors' introduction: Special issue from ECML PKDD 2009

Kołcz, A., Mladenić, D., Buntine, W., Grobelnik, M. & Shawe-Taylor, J., Sep 2009, In : Machine Learning. 76, 2-3, p. 175-177 3 p.

Research output: Contribution to journalEditorialOther

Kernel conditional quantile estimation via reduction revisited

Quadrianto, N., Kersting, K., Reid, M. D., Caetano, T. S. & Buntine, W. L., 2009, Proceedings - IEEE International Conference on Data Mining, ICDM. Wang, W., Kargupta, H., Ranka, S., Yu, P. S. & Wu, X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 938 - 943 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review