290 search results - page 8 / 58 » Learning with Deep Cascades |
PAMI
2008
15 years 3 months ago
2008
131
Voted
NIPS
2007
15 years 4 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...
101
Voted
ETS
2002
IEEE
15 years 3 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...
146
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ICMLA
2009
15 years 1 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...
122
Voted
ICML
2010
IEEE
15 years 4 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...