775 search results - page 1 / 155 » Relevance Ranking Using Kernels |
AIRS
2010
Springer
13 years 2 months ago
2010
Springer
This paper is concerned with relevance ranking in search, particularly that using term dependency information. It proposes a novel and unified approach to relevance ranking using ...
CVPR
2001
IEEE
14 years 6 months ago
2001
IEEE
This paper presents a new approach to ranking relevant images for retrieval. Distance in the feature space associated with a kernel is used to rank relevant images. An adaptive qu...
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
ECIR
2010
Springer
13 years 6 months ago
2010
Springer
We propose a kernel convolution method to predict similar locations (wormholes) based on human travel behaviour. A scaling parameter can be used to define a set of relevant users t...