775 search results - page 1 / 155 » Relevance Ranking Using Kernels |
79
Voted
AIRS
2010
Springer
14 years 7 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
15 years 11 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
15 years 4 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
15 years 10 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
14 years 11 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...