Léon Bottou, Frank E. Curtis, Jorge Nocedal, Optimization Methods for Large-Scale Machine Learning, SIAM Review, Vol. 60, No. 2 (June 2018), ... Through case studies on text classification and the ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

Linear Regression Cost function in Machine Learning is "error" representation between actual value and model predictions. To minimize the error, we need to minimize the Linear Regression Cost ...

Study: Extracting medicinal chemistry intuition via preference machine learning. Image Credit: Krisana Antharith/Shutterstock.com. In drug development campaigns, lead optimization entails the time ...

OLA2024 welcomes presentations that cover any aspects of optimization and learning research such as new high-impact applications, parameter tuning, 4th industrial revolution, new research challenges, ...