148 search results - page 16 / 30 » Multi-task Gaussian Process Prediction |
NIPS
2003
14 years 11 months ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
76
Voted
DAC
2005
ACM
14 years 11 months ago
2005
ACM
Variability of process parameters makes prediction of digital circuit timing characteristics an important and challenging problem in modern chip design. Recently, statistical stat...
72
Voted
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
This paper considers humming-based human verification and identification systems. Humming of a target person is modeled as a Gaussian mixture model, and the matching score betwe...
108
click to vote
NIPS
2008
14 years 11 months ago
2008
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
68
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Artificial neural networks have proved an attractive approach to non-linear regression problems arising in environmental modelling, such as statistical downscaling, sh...