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Results for: 2018

Clustering Induced Kernel Learning

N. Khanh

2018 / pp. 129 - 144 / Proceedings of The 10th Asian Conference on Machine Learning

Approximation vector machines for large-scale online learning

T. Le, T. Nguyen, V. Nguyen, D. Phung

2018 / Vol. 18, pp. 3962 - 4016 / The Journal of Machine Learning Research

GoGP: scalable geometric-based Gaussian process for online regression

T. Le, K. Nguyen, V. Nguyen, T. Nguyen, D. Phung

2018 / pp. 1 - 30 / Knowledge and Information Systems

Batch Normalized Deep Boltzmann Machines

V. Hung

2018 / Vol. 95, pp. 359 - 374 / Proceedings of The 10th Asian Conference on Machine Learning

Making Sense of Pervasive Signals: a Machine Learning Approach

T. Binh

2018 / Doctor of Philosophy (Information Technology), School of Information Technology

Representation Learning in Complex Data via Pattern Discovery

D. Pham

2018 / Doctor of Philosophy (Information Technology), School of Information Technology

Machine learning to fight addiction using social media

H. Harikumar

2018 / Doctor of Philosophy (Information Technology), School of Information Technology

Selecting Optimal Source for Transfer Learning in Bayesian Optimisation

A. Ramachandran, S. Gupta, R. Santu, S. Venkatesh

2018 / pp. 42 - 56 / The 15th Pacific Rim International Conference on Artificial Intelligence

Exploration Enhanced Expected Improvement for Bayesian Optimization

J. Berk, V. Nguyen, S. Gupta, R. Santu, S. Venkatesh

2018 / pp. 621 - 637 / The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)

Differentially Private Prescriptive Analytics

H. Harikumar, S. Rana, S. Gupta, T. Nguyen, R. Kaimal, S. Venkatesh

2018 / pp. 995 - 1000 / 2018 IEEE International Conference on Data Mining (ICDM)

Discovering topic structures of a temporally evolving document corpus

A. Beykikhoshk, O. Arandjelovic, D. Phung, S. Venkatesh

2018 / Vol. 55, pp. 599 - 632 / Knowledge and Information Systems

Stable bayesian optimization

N. Dai, S. Gupta, S. Rana, S. Venkatesh

2018 / Vol. 6, pp. 327 - 339 / International Journal of Data Science and Analytics

Information-theoretic Transfer Learning framework for Bayesian Optimisation

A. Ramachandran, S. Gupta, R. Santu, S. Venkatesh

2018 / pp. 827 - 842 / The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)