Fine-Tuning Dependencies with Parameters

Alireza Vezvaei, Lukasz Golab, Mehdi Kargar, Divesh Srivastava, Jaroslaw Szlichta, Morteza Zihayat
January 2022

Abstract

This paper presents methods for fine-tuning dependencies with parameters, improving system optimization and performance through advanced parameter tuning techniques.

Type
Conference paper
Publication
International Conference on Extending Database Technology (EDBT)

This work focuses on fine-tuning approaches for system dependencies and parameters.

Fine-Tuning Dependencies Parameters System Optimization Performance Tuning
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.