Evolving gradient boost: A pruning scheme based on loss improvement ratio for learning under concept drift
In nonstationary environments, data distributions can change over time. This phenomenon is
known as concept drift, and the related models need to adapt if they are to remain accurate …
known as concept drift, and the related models need to adapt if they are to remain accurate …
Function space analysis of deep learning representation layers
In this paper we propose a function space approach to Representation Learning and the
analysis of the representation layers in deep learning architectures. We show how to …
analysis of the representation layers in deep learning architectures. We show how to …