361 search results - page 21 / 73 » MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm |
135
Voted
NIPS
2008
15 years 5 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
139
Voted
ICPR
2006
IEEE
16 years 4 months ago
2006
IEEE
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
117
Voted
AAAI
2007
15 years 5 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...
141
Voted
CVPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
138
Voted
CIKM
2010
Springer
15 years 2 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...