Kaleb L. Leemaqz

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 7

Top Topics

Maximum Likelihood

Hyperparameters

Top Venues

Stat. Anal. Data Min.

IEEE Trans. Neural Networks Learn. Syst.

Concurr. Comput. Pract. Exp.

Publications

Sharon X. Lee, Geoffrey J. McLachlan, Kaleb L. Leemaqz
Multi-node Expectation-Maximization algorithm for finite mixture models. Stat. Anal. Data Min. 14 (4) (2021)
Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan
PPEM: Privacy-preserving EM learning for mixture models. Concurr. Comput. Pract. Exp. 31 (24) (2019)
Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan
A Block EM Algorithm for Multivariate Skew Normal and Skew $t$ -Mixture Models. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan
Private Distributed Three-Party Learning of Gaussian Mixture Models. ATIS (2017)
Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan
Corruption-Resistant Privacy Preserving Distributed EM Algorithm for Model-Based Clustering. TrustCom/BigDataSE/ICESS (2017)
Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan
A block EM algorithm for multivariate skew normal and skew t-mixture models. CoRR (2016)
Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan
A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models. DICTA (2016)