194 search results - page 6 / 39 » Subspace Regularization: A New Semi-supervised Learning Meth... |
106
click to vote
ICMLA
2010
14 years 9 months ago
2010
Abstract--Clinical electroencephalography (EEG) is routinely used to monitor brain function in critically ill patients, and specific EEG waveforms are recognized by clinicians as s...
101
click to vote
PKDD
2009
Springer
15 years 6 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
106
click to vote
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
IEICET
2007
14 years 11 months ago
2007
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the gener...
116
click to vote
KDD
2006
ACM
16 years 15 hour ago
2006
ACM
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...