Kaleb L. Leemaqz

According to our database, Kaleb L. Leemaqz authored at least 6 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Multi-node Expectation-Maximization algorithm for finite mixture models.

Sharon X. Lee, Geoffrey J. McLachlan, Kaleb L. Leemaqz

Stat. Anal. Data Min., 2021

2019

PPEM: Privacy-preserving EM learning for mixture models.

Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan

Concurr. Comput. Pract. Exp., 2019

2018

A Block EM Algorithm for Multivariate Skew Normal and Skew $t$ -Mixture Models.

Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Corruption-Resistant Privacy Preserving Distributed EM Algorithm for Model-Based Clustering.

Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Private Distributed Three-Party Learning of Gaussian Mixture Models.

Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan

Proceedings of the Applications and Techniques in Information Security, 2017

2016

A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models.

Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016