38 search results - page 1 / 8 » Kernel Regression with Order Preferences |
84
Voted
AAAI
2007
14 years 12 months ago
2007
We propose a novel kernel regression algorithm which takes into account order preferences on unlabeled data. Such preferences have the form that point x1 has a larger target value...
107
Voted
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
Previous Multiple Kernel Learning approaches (MKL) employ different kernels by their linear combination. Though some improvements have been achieved over methods using single kerne...
69
Voted
GLOBECOM
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
AAAI
2006
14 years 11 months ago
2006
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
The preference model introduced in this paper gives a natural framework and a principled solution for a broad class of supervised learning problems with structured predictions, su...