290 search results - page 8 / 58 » Learning with Deep Cascades |
67
Voted
PAMI
2008
15 years 18 days ago
2008
101
Voted
NIPS
2007
15 years 2 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...
82
Voted
ETS
2002
IEEE
15 years 13 days 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...
121
Voted
ICMLA
2009
14 years 10 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...
94
Voted
ICML
2010
IEEE
15 years 1 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...