Kernel based Machine Learning from Multiple Information Sources Prof. Marius Kloft

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications In my talk I will introduce multiple kernel learning, a machine learning framework for integrating multiple types of representation into the learning process. The talk will focus on strategies for effective regularization and flexible kernel combination, including localization. The applicability of the methodology is illustrated by applications taken from the domains of visual obj