Buntine, Wray L.

28 publications

AAAI 2024 Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine

IJCAI 2023 A Survey on Out-of-Distribution Evaluation of Neural NLP Models Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine

AAAI 2023 AUC Maximization for Low-Resource Named Entity Recognition Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen

AAAI 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie

IJCAI 2021 Topic Modelling Meets Deep Neural Networks: A Survey He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine

ECML-PKDD 2018 A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis Joan Capdevila, Jesús Cerquides, Jordi Torres, François Petitjean, Wray L. Buntine

MLJ 2018 Accurate Parameter Estimation for Bayesian Network Classifiers Using Hierarchical Dirichlet Processes François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi

AISTATS 2018 Bayesian Multi-Label Learning with Sparse Features and Labels, and Label Co-Occurrences He Zhao, Piyush Rai, Lan Du, Wray L. Buntine

MLJ 2017 Efficient Parameter Learning of Bayesian Network Classifiers Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck

MLJ 2016 Bibliographic Analysis on Research Publications Using Authors, Categorical Labels and the Citation Network Kar Wai Lim, Wray L. Buntine

ICML 2012 Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling Changyou Chen, Nan Ding, Wray L. Buntine

ECML-PKDD 2012 Score-Based Bayesian Skill Learning Shengbo Guo, Scott Sanner, Thore Graepel, Wray L. Buntine

ECML-PKDD 2011 Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process Changyou Chen, Lan Du, Wray L. Buntine

MLJ 2010 A Segmented Topic Model Based on the Two-Parameter Poisson-Dirichlet Process Lan Du, Wray L. Buntine, Huidong Jin

UAI 2004 Applying Discrete PCA in Data Analysis Wray L. Buntine, Aleks Jakulin

AISTATS 2003 Efficient Computing of Stochastic Complexity Petri Kontkanen, Wray L. Buntine, Petri Myllymäki, Jorma Rissanen, Henry Tirri

AISTATS 2003 Is Multinomial PCA Multi-Faceted Clustering or Dimensionality Reduction? Wray L. Buntine, Sami Perttu

ECML-PKDD 2002 Variational Extensions to EM and Multinomial PCA Wray L. Buntine

UAI 1995 Chain Graphs for Learning Wray L. Buntine

AISTATS 1995 Software for Data Analysis with Graphical Models Wray L. Buntine, H. Scott Roy

JAIR 1994 Operations for Learning with Graphical Models Wray L. Buntine

MLJ 1992 A Further Comparison of Splitting Rules for Decision-Tree Induction Wray L. Buntine, Tim Niblett

IJCAI 1991 Classifiers: A Theoretical and Empirical Study Wray L. Buntine

AAAI 1990 Myths and Legends in Learning Classification Rules Wray L. Buntine

IJCAI 1989 A Critique of the Valiant Model Wray L. Buntine

ICML 1989 Learning Classification Rules Using Bayes Wray L. Buntine

ICML 1988 Machine Invention of First Order Predicates by Inverting Resolution Stephen H. Muggleton, Wray L. Buntine

UAI 1987 Decision Tree Induction Systems: A Bayesian Analysis Wray L. Buntine