7 citations · 7 across the 4 of their papers we have counts for
4 papers
A Novel Cluster Classify Regress Model Predictive Controller Formulation; CCR-MPC
Clement Etienam, Siying Shen, Edward J O'Dwyer +1
In this work, we develop a novel data-driven model predictive controller using advanced techniques in the field of machine learning. The objective is to regulate control signals to…
Fast Deep Mixtures of Gaussian Process Experts
Clement Etienam, Kody Law, Sara Wade +1
Mixtures of experts have become an indispensable tool for flexible modelling in a supervised learning context, allowing not only the mean function but the entire density of the out…
4D Seismic History Matching Incorporating Unsupervised Learning
Clement Etienam
The work discussed and presented in this paper focuses on the history matching of reservoirs by integrating 4D seismic data into the inversion process using machine learning techni…
Cluster, Classify, Regress: A General Method For Learning Discountinous Functions
David E. Bernholdt, Mark R. Cianciosa, Clement Etienam +3
This paper presents a method for solving the supervised learning problem in which the output is highly nonlinear and discontinuous. It is proposed to solve this problem in three st…