default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDWray L. Buntine
Wray Lindsay Buntine
Person information
- affiliation: Monash University, Melbourne, Australia
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j45]Wei Tan
, Lan Du, Wray L. Buntine:
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3463-3479 (2024)- [j44]Jionghao Lin, Wei Tan, Lan Du, Wray L. Buntine, David Lang, Dragan Gasevic, Guanliang Chen:
Enhancing Educational Dialogue Act Classification With Discourse Context and Sample Informativeness. IEEE Trans. Learn. Technol. 17: 258-269 (2024) - [j43]Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham, Hongzhi Yin:
OntoMedRec: Logically-pretrained model-agnostic ontology encoders for medication recommendation. World Wide Web (WWW) 27(3): 28 (2024) - [c102]Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine:
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. AAAI 2024: 15240-15248 - [c101]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Towards Uncertainty-Aware Language Agent. ACL (Findings) 2024: 6662-6685 - [c100]Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi:
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. ACL (Findings) 2024: 6702-6718 - [c99]Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine:
Improving Vietnamese-English Medical Machine Translation. LREC/COLING 2024: 8955-8962 - [c98]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Reward Engineering for Generating Semi-structured Explanation. EACL (Findings) 2024: 589-602 - [i59]Wei Tan, Ngoc Dang Nguyen, Lan Du, Wray L. Buntine:
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification. CoRR abs/2401.07395 (2024) - [i58]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Towards Uncertainty-Aware Language Agent. CoRR abs/2401.14016 (2024) - [i57]Weicong Tan, Weiqing Wang, Xin Zhou, Wray L. Buntine, Gordon Bingham:
OntoMedRec: Logically-Pretrained Model-Agnostic Ontology Encoders for Medication Recommendation. CoRR abs/2401.15814 (2024) - [i56]Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray L. Buntine:
Improving Vietnamese-English Medical Machine Translation. CoRR abs/2403.19161 (2024) - [i55]Ming Liu, Ran Liu, Ye Zhu, Hua Wang, Youyang Qu, Rongsheng Li, Yongpan Sheng, Wray L. Buntine:
A Survey on the Real Power of ChatGPT. CoRR abs/2405.00704 (2024) - [i54]Jueqing Lu, Lan Du, Wray L. Buntine, Myong Chol Jung, Joanna Dipnall, Belinda Gabbe:
Navigating Conflicting Views: Harnessing Trust for Learning. CoRR abs/2406.00958 (2024) - [i53]Xiaohao Yang, He Zhao, Dinh Q. Phung, Wray L. Buntine, Lan Du:
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models. CoRR abs/2406.09008 (2024) - [i52]Do Huu Dat, Do Duc Anh, Anh Tuan Luu, Wray L. Buntine:
Discrete Diffusion Language Model for Long Text Summarization. CoRR abs/2407.10998 (2024) - [i51]Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir:
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CoRR abs/2408.04245 (2024) - 2023
- [j42]Caitlin Doogan, Wray L. Buntine, Henry Linger:
A systematic review of the use of topic models for short text social media analysis. Artif. Intell. Rev. 56(12): 14223-14255 (2023) - [c97]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment. AAAI 2023: 4676-4684 - [c96]Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen:
AUC Maximization for Low-Resource Named Entity Recognition. AAAI 2023: 13389-13399 - [c95]Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic:
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. AIED 2023: 114-125 - [c94]Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine:
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. AIED 2023: 176-188 - [c93]Yishuo Zhang, Nayyar Abbas Zaidi, Gang Li, Wray L. Buntine:
MEG: Masked Ensemble Tabular Data Generator. ICDM 2023: 838-847 - [c92]Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen:
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? ICDM 2023: 1241-1246 - [c91]Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine:
A Survey on Out-of-Distribution Evaluation of Neural NLP Models. IJCAI 2023: 6683-6691 - [e7]Berrin Yanikoglu, Wray L. Buntine:
Asian Conference on Machine Learning, ACML 2023, 11-14 November 2023, Istanbul, Turkey. Proceedings of Machine Learning Research 222, PMLR 2023 [contents] - [i50]Wei Tan, Jionghao Lin, David Lang, Guanliang Chen, Dragan Gasevic, Lan Du, Wray L. Buntine:
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification. CoRR abs/2304.05578 (2023) - [i49]Jionghao Lin, Wei Tan, Ngoc Dang Nguyen, David Lang, Lan Du, Wray L. Buntine, Richard Beare, Guanliang Chen, Dragan Gasevic:
Robust Educational Dialogue Act Classifiers with Low-Resource and Imbalanced Datasets. CoRR abs/2304.07499 (2023) - [i48]Jiuzhou Han, Nigel Collier, Wray L. Buntine, Ehsan Shareghi:
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs. CoRR abs/2305.12392 (2023) - [i47]Xinzhe Li, Ming Liu, Shang Gao, Wray L. Buntine:
A Survey on Out-of-Distribution Evaluation of Neural NLP Models. CoRR abs/2306.15261 (2023) - [i46]Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
Reward Engineering for Generating Semi-structured Explanation. CoRR abs/2309.08347 (2023) - [i45]Ngoc Dang Nguyen, Wei Tan, Lan Du, Wray L. Buntine, Richard Beare, Changyou Chen:
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? CoRR abs/2311.04918 (2023) - [i44]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Open-Set Graph Anomaly Detection via Normal Structure Regularisation. CoRR abs/2311.06835 (2023) - [i43]Do Huu Dat, Po Yuan Mao, Tien Hoang Nguyen, Wray L. Buntine, Mohammed Bennamoun:
HOMOE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts. CoRR abs/2311.14747 (2023) - [i42]Wei Tan, Lan Du, Wray L. Buntine:
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning. CoRR abs/2312.10116 (2023) - 2022
- [j41]Laurent Valentin Jospin, Hamid Laga, Farid Boussaïd, Wray L. Buntine, Mohammed Bennamoun:
Hands-On Bayesian Neural Networks - A Tutorial for Deep Learning Users. IEEE Comput. Intell. Mag. 17(2): 29-48 (2022) - [j40]Wray L. Buntine:
Understanding Hierarchical Processes. Entropy 24(12): 1703 (2022) - [j39]Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine:
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. IEEE Trans. Software Eng. 48(8): 2814-2835 (2022) - [c90]Lan Zhang, Wray L. Buntine, Ehsan Shareghi:
On the Effect of Isotropy on VAE Representations of Text. ACL (2) 2022: 694-701 - [c89]Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare:
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. EMNLP 2022: 4063-4071 - [c88]Qizhou Wang, Mahsa Salehi, Jia Shun Low, Wray L. Buntine, Christopher Leckie:
ENDASh: Embedding Neighbourhood Dissimilarity with Attribute Shuffling for Graph Anomaly Detection. PAKDD (2) 2022: 17-29 - [c87]Narjes Askarian, Ehsan Abbasnejad, Ingrid Zukerman, Wray L. Buntine, Gholamreza Haffari:
Inductive Biases for Low Data VQA: A Data Augmentation Approach. WACV (Workshops) 2022: 231-240 - [e6]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 1: Long Papers, Online Only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-65-0 [contents] - [e5]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, AACL/IJCNLP 2022 - Volume 2: Short Papers, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-64-3 [contents] - [e4]Yulan He, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu:
Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. Association for Computational Linguistics 2022, ISBN 978-1-959429-04-3 [contents] - [i41]Vy Vo, Weiqing Wang, Wray L. Buntine:
Unsupervised Sentence Simplification via Dependency Parsing. CoRR abs/2206.12261 (2022) - [i40]Ngoc Dang Nguyen, Lan Du, Wray L. Buntine, Changyou Chen, Richard Beare:
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios. CoRR abs/2211.05980 (2022) - [i39]Qizhou Wang, Guansong Pang, Mahsa Salehi, Wray L. Buntine, Christopher Leckie:
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment. CoRR abs/2212.01096 (2022) - [i38]Ngoc Dang Nguyen, Wei Tan, Wray L. Buntine, Richard Beare, Changyou Chen, Lan Du:
AUC Maximization for Low-Resource Named Entity Recognition. CoRR abs/2212.04800 (2022) - 2021
- [j38]Rabeh Ravanifard, Wray L. Buntine, Abdolreza Mirzaei:
Recommending content using side information. Appl. Intell. 51(6): 3353-3374 (2021) - [j37]Rabeh Ravanifard, Abdolreza Mirzaei, Wray L. Buntine, Mehran Safayani:
Content-Aware Listwise Collaborative Filtering. Neurocomputing 461: 479-493 (2021) - [j36]Lixue Zou, Xiwen Liu, Wray L. Buntine, Yanli Liu:
Citation context-based topic models: discovering cited and citing topics from full text. Libr. Hi Tech 39(4): 1063-1083 (2021) - [c86]Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari:
All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. CVPR 2021: 7241-7250 - [c85]Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. EMNLP (1) 2021: 1042-1052 - [c84]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du:
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? EMNLP (Findings) 2021: 1313-1330 - [c83]Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine:
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. EMNLP (Findings) 2021: 3334-3340 - [c82]He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine:
Neural Topic Model via Optimal Transport. ICLR 2021 - [c81]He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. IJCAI 2021: 4713-4720 - [c80]Caitlin Doogan, Wray L. Buntine:
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures. NAACL-HLT 2021: 3824-3848 - [c79]Wei Tan, Lan Du, Wray L. Buntine:
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. NeurIPS 2021: 10906-10918 - [i37]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction. CoRR abs/2102.02586 (2021) - [i36]Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine:
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. CoRR abs/2102.09687 (2021) - [i35]He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine:
Topic Modelling Meets Deep Neural Networks: A Survey. CoRR abs/2103.00498 (2021) - [i34]Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari:
All Labels Are Not Created Equal: Enhancing Semi-supervision via Label Grouping and Co-training. CoRR abs/2104.05248 (2021) - [i33]Kelvin Lo, Yuan Jin, Weicong Tan, Ming Liu, Lan Du, Wray L. Buntine:
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence. CoRR abs/2110.07160 (2021) - [i32]Yuan Jin, He Zhao, Ming Liu, Lan Du, Wray L. Buntine:
Neural Attention-Aware Hierarchical Topic Model. CoRR abs/2110.07161 (2021) - [i31]Lan Zhang, Wray L. Buntine, Ehsan Shareghi:
The Neglected Sibling: Isotropic Gaussian Posterior for VAE. CoRR abs/2110.07383 (2021) - [i30]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari, Lan Du:
Multilingual Neural Machine Translation: Can Linguistic Hierarchies Help? CoRR abs/2110.07816 (2021) - [i29]Wei Tan, Lan Du, Wray L. Buntine:
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules. CoRR abs/2110.14171 (2021) - 2020
- [j35]Wray L. Buntine:
Machine learning after the deep learning revolution. Frontiers Comput. Sci. 14(6): 146320 (2020) - [j34]Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local rule-based model interpretability with k-optimal associations. Inf. Sci. 540: 221-241 (2020) - [j33]He Zhang, François Petitjean, Wray L. Buntine:
Bayesian network classifiers using ensembles and smoothing. Knowl. Inf. Syst. 62(9): 3457-3480 (2020) - [c78]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-Scale Attributed Graphs. ADC 2020: 134-146 - [c77]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Dinh Phung, Mingyuan Zhou:
Variational Autoencoders for Sparse and Overdispersed Discrete Data. AISTATS 2020: 1684-1694 - [c76]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari:
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. COLING 2020: 3413-3421 - [c75]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. ECAI 2020: 1810-1817 - [c74]He Zhang, François Petitjean, Wray L. Buntine:
Hierarchical Gradient Smoothing for Probability Estimation Trees. PAKDD (1) 2020: 222-234 - [c73]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine:
Robust Attribute and Structure Preserving Graph Embedding. PAKDD (2) 2020: 593-606 - [i28]Laurent Valentin Jospin, Wray L. Buntine, Farid Boussaïd, Hamid Laga, Mohammed Bennamoun:
Hands-on Bayesian Neural Networks - a Tutorial for Deep Learning Users. CoRR abs/2007.06823 (2020) - [i27]He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray L. Buntine:
Neural Sinkhorn Topic Model. CoRR abs/2008.13537 (2020) - [i26]Fahimeh Saleh, Wray L. Buntine, Gholamreza Haffari:
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation. CoRR abs/2010.05445 (2020) - [i25]Yuan Jin, Wray L. Buntine, François Petitjean, Geoffrey I. Webb:
Discriminative, Generative and Self-Supervised Approaches for Target-Agnostic Learning. CoRR abs/2011.06428 (2020)
2010 – 2019
- 2019
- [j32]He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
Leveraging external information in topic modelling. Knowl. Inf. Syst. 61(2): 661-693 (2019) - [c72]He Zhao, Lan Du, Guanfeng Liu, Wray L. Buntine:
Leveraging Meta Information in Short Text Aggregation. ACL (1) 2019: 4042-4049 - [i24]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Variational Autoencoders for Sparse and Overdispersed Discrete Data. CoRR abs/1905.00616 (2019) - [i23]Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. CoRR abs/1908.03840 (2019) - [i22]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-scale Attributed Graphs. CoRR abs/1912.00536 (2019) - [i21]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. CoRR abs/1912.03703 (2019) - 2018
- [j31]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian network classifiers using hierarchical Dirichlet processes. Mach. Learn. 107(8-10): 1303-1331 (2018) - [c71]Poorya Zaremoodi, Wray L. Buntine, Gholamreza Haffari:
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation. ACL (2) 2018: 656-661 - [c70]Ming Liu, Wray L. Buntine, Gholamreza Haffari:
Learning How to Actively Learn: A Deep Imitation Learning Approach. ACL (1) 2018: 1874-1883 - [c69]Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML 2018: 192-207 - [c68]He Zhao, Piyush Rai, Lan Du, Wray L. Buntine:
Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences. AISTATS 2018: 1943-1951 - [c67]Ming Liu, Wray L. Buntine, Gholamreza Haffari:
Learning to Actively Learn Neural Machine Translation. CoNLL 2018: 334-344 - [c66]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Inter and Intra Topic Structure Learning with Word Embeddings. ICML 2018: 5887-5896 - [c65]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Dirichlet belief networks for topic structure learning. NeurIPS 2018: 7966-7977 - [c64]Joan Capdevila, Jesús Cerquides, Jordi Torres, François Petitjean, Wray L. Buntine:
A Left-to-Right Algorithm for Likelihood Estimation in Gamma-Poisson Factor Analysis. ECML/PKDD (2) 2018: 638-654 - [i20]Yuan Jin, Mark James Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. CoRR abs/1802.04009 (2018) - [i19]He Zhao, Lan Du, Wray L. Buntine, Mingyuan Zhou:
Dirichlet belief networks for topic structure learning. CoRR abs/1811.00717 (2018) - 2017
- [j30]Nayyar Abbas Zaidi, Geoffrey I. Webb, Mark James Carman, François Petitjean, Wray L. Buntine, Mike Hynes, Hans De Sterck:
Efficient parameter learning of Bayesian network classifiers. Mach. Learn. 106(9-10): 1289-1329 (2017) - [c63]Ming Liu, Gholamreza Haffari, Wray L. Buntine, Michelle Ananda-Rajah:
Leveraging Linguistic Resources for Improving Neural Text Classification. ALTA 2017: 34-42 - [c62]He Zhao, Lan Du, Wray L. Buntine:
A Word Embeddings Informed Focused Topic Model. ACML 2017: 423-438 - [c61]Wray L. Buntine:
Backoff methods for estimating parameters of a Bayesian network. AMBN 2017: 3 - [c60]He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
MetaLDA: A Topic Model that Efficiently Incorporates Meta Information. ICDM 2017: 635-644 - [c59]He Zhao, Lan Du, Wray L. Buntine:
Leveraging Node Attributes for Incomplete Relational Data. ICML 2017: 4072-4081 - [r10]Wray L. Buntine:
Bayesian Methods. Encyclopedia of Machine Learning and Data Mining 2017: 100-106 - [r9]Julian J. McAuley, Tibério S. Caetano, Wray L. Buntine:
Graphical Models. Encyclopedia of Machine Learning and Data Mining 2017: 584-592 - [r8]Novi Quadrianto, Wray L. Buntine:
Linear Discriminant. Encyclopedia of Machine Learning and Data Mining 2017: 745-747 - [r7]Novi Quadrianto, Wray L. Buntine:
Linear Regression. Encyclopedia of Machine Learning and Data Mining 2017: 747-750 - [r6]Novi Quadrianto, Wray L. Buntine:
Regression. Encyclopedia of Machine Learning and Data Mining 2017: 1075-1080 - [i18]He Zhao, Lan Du, Wray L. Buntine:
Leveraging Node Attributes for Incomplete Relational Data. CoRR abs/1706.04289 (2017) - [i17]François Petitjean, Wray L. Buntine, Geoffrey I. Webb, Nayyar Abbas Zaidi:
Accurate parameter estimation for Bayesian Network Classifiers using Hierarchical Dirichlet Processes. CoRR abs/1708.07581 (2017) - [i16]He Zhao, Lan Du, Wray L. Buntine, Gang Liu:
MetaLDA: a Topic Model that Efficiently Incorporates Meta information. CoRR abs/1709.06365 (2017) - 2016
- [j29]Kar Wai Lim, Wray L. Buntine, Changyou Chen, Lan Du:
Nonparametric Bayesian topic modelling with the hierarchical Pitman-Yor processes. Int. J. Approx. Reason. 78: 172-191 (2016) - [j28]