Optimization, Adaptation, Machine Learning and Evolutionary Computation (unpolished)
I recently came across a wonderful bird’s eye-view paper in JMLR [1]. It is helping me to clarify my views about the relationship between Machine Learning and Evolutionary Computation.
Bennett and Parrado-Hernandez remark:
“Optimization lies at the heart of machine learning. Most machine learning problems reduce to optimization problems. Consider the machine learning analyst in action solving a problem for some set of data. The modeler formulates the problem by selecting an appropriate family of models and massages the data into Read the rest of this entry »
