Orthogonal parametric non-negative matrix tri-factorization with \alpha-divergence for co-clustering

This Speech Delivered by Dr. Saeid Hoseinipour | Department of Mathematics and Computer Science, Amirkabir University of Technology | Iran | Best Researcher Award

Orthogonal parametric non-negative matrix tri-factorization with $\alpha$-
divergence for co-clustering

International Research Awards on Statistical Methods for Analyzing Engineering Data

International Research Awards on Statistical Methods for Analyzing Engineering Data is an annual award that recognizes exceptional research contributions in the field of statistical methods for engineering data analysis. The award aims to promote innovative research in statistical modeling, simulation, and analysis techniques to enable better decision-making in engineering applications.The award is open to researchers from all over the world who have made significant contributions to the development and application of statistical methods for engineering data analysis. Eligible research topics may include, but are not limited to, statistical inference, regression analysis, time series analysis, design of experiments, Bayesian methods, machine learning, and data visualization.

International Research Awards on Statistical Methods for Analyzing Engineering Data

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