993 search results - page 48 / 199 » Learning RoboCup-Keepaway with Kernels |
DCC
2009
IEEE
15 years 10 months ago
2009
IEEE
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
WSOM
2009
Springer
15 years 4 months ago
2009
Springer
We explore generic mechanisms to introduce structural hints into the method of Unsupervised Kernel Regression (UKR) in order to learn representations of data sequences in a semi-su...
103
click to vote
ICASSP
2009
IEEE
14 years 7 months ago
2009
IEEE
We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. Th...
101
click to vote
ALT
2010
Springer
14 years 11 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
100
click to vote
KDD
2007
ACM
15 years 10 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...