578 search results - page 63 / 116 » Neural networks for relational learning: an experimental com... |
NIPS
2007
13 years 9 months ago
2007
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
IPPS
1998
IEEE
13 years 11 months ago
1998
IEEE
Parallel programming is elusive. The relative performance of di erent parallel implementations varies with machine architecture, system and problem size. How to compare di erent i...
FLAIRS
2007
13 years 10 months ago
2007
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
HIS
2008
13 years 9 months ago
2008
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
IJCNN
2008
IEEE
14 years 2 months ago
2008
IEEE
— Machine learning has made great progress during the last decades and is being deployed in a wide range of applications. However, current machine learning techniques are far fro...