290 search results - page 8 / 58 » Learning with Deep Cascades |
PAMI
2008
14 years 9 months ago
2008
NIPS
2007
14 years 11 months ago
2007
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
ETS
2002
IEEE
14 years 9 months ago
2002
IEEE
There is interplay between emotions and learning, but this interaction is far more complex than previous learning theories have articulated--this interplay interacts with other re...
ICMLA
2009
14 years 7 months ago
2009
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...