Search
Now showing items 1-3 of 3
Kernels for Vector-Valued Functions: a Review
(2011-06-30)
Kernel methods are among the most popular techniques in machine learning. From a frequentist/discriminative perspective they play a central role in regularization theory as they provide a natural choice for the hypotheses ...
Generalization and Properties of the Neural Response
(2010-11-19)
Hierarchical learning algorithms have enjoyed tremendous growth in recent years, with many new algorithms being proposed and applied to a wide range of applications. However, despite the apparent success of hierarchical ...
Generalization in Deep Learning
(2018-05-01)
With a direct analysis of neural networks, this paper presents a mathematically tight generalization theory to partially address an open problem regarding the generalization of deep learning. Unlike previous bound-based ...