1900 search results - page 216 / 380 » Gaussian Processes in Machine Learning |
PPSN
2004
Springer
14 years 3 months ago
2004
Springer
Different credit assignment strategies are investigated in a two level co-evolutionary model which involves a population of Gaussian neurons and a population of radial basis funct...
PODC
2010
ACM
14 years 10 days ago
2010
ACM
Low overhead analysis of large distributed data sets is necessary for current data centers and for future sensor networks. In such systems, each node holds some data value, e.g., ...
COST
2008
Springer
14 years 6 days ago
2008
Springer
This paper deals with emotional speech detection in home movies. In this study, we focus on infant-directed speech also called "motherese" which is characterized by highe...
CORR
2006
Springer
13 years 10 months ago
2006
Springer
We present a novel approach to estimate the time delay between light curves of multiple images in a gravitationally lensed system, based on Kernel methods in the context of machine...
JMLR
2010
13 years 5 months ago
2010
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...