4 papers got accepted at CiCling-2018.
Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise, “A flexible stochastic method for solving the MAP problem in topic models”, Proceeding of International Conference on […]
Recent publications
A paper at IJA (ISI journal) by Hoa Le Minh et al.
Hoa Le Minh, Son Ta Cong, Quyen Pham The, Linh Ngo Van, Khoat Than, “Collaborative Topic Model for Poisson distributed ratings”, International Journal of Approximate […]
2 papers got accepted at PAKDD-2017.
Duc-Anh Nguyen, Kim Anh Nguyen, Linh Ngo, Khoat Than, “Keeping priors in streaming Bayesian learning”, In Proceedings of the 21st Pacific-Asia Conference on Knowledge Discovery and […]
A paper at KAIS (ISI journal) by Ngo Van Linh et al.
Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Chien Nguyen Dang, “An Effective and Interpretable Method for Document Classification”, Knowledge and Information Systems (KAIS) journal. 2016
A paper at LREC-2016 by Kiem-Hieu Nguyen et al.
Kiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret and Romaric Besançon. A Dataset for Open Event Extraction in English. In Proceedings of 10th Language Resources and Evaluation […]
A paper at PAKDD-2016 by Khai Mai et al.
Khai Mai, Sang Mai, Anh Nguyen, Linh Ngo, Khoat Than, “Enabling Hierarchical Dirichlet Processes to work better for short texts at large scale”. In Proceedings […]
A paper at Neurocomputing by Khoat Than et al.
Khoat Than, Tu Bao Ho, and Duy Khuong Nguyen, “An effective framework for supervised dimension reduction”. Neurocomputing, vol .139, pages 397-407, 2014. (ISI)
A paper at DASFAA-2015 by Ngo Van Linh et al.
Ngo Van Linh, Nguyen Kim Anh, Khoat Than, Nguyen Tat Nguyen, “Effective and Interpretable Document Classification using Distinctly Labeled Dirichlet Process Mixture Models of von […]
A paper at ACML-2014 by Khoat Than et al.
Khoat Than and Tung Doan, “Dual online inference for latent Dirichlet allocation”. In ACML. Journal of Machine Learning Research: W&CP, vol. 39, pages 80-95, 2014.