2615 search results - page 129 / 523 » Predictive Hebbian Learning |
133
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
141
Voted
ML
2002
ACM
15 years 3 months ago
2002
ACM
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
171
Voted
ESWA
2008
15 years 3 months ago
2008
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
128
Voted
TASLP
2011
14 years 10 months ago
2011
Abstract—A probabilistic kernel approach to pairwise preference learning based on Gaussian processes is applied to predict preference judgments for sound quality degradation mech...
100
click to vote
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a new type of multi-class learning algorithm called a linear-max algorithm. Linearmax algorithms learn with a special type of attribute called a sub-expert. A sub-exper...