1015 search results - page 30 / 203 » Kernels for Multi--task Learning |
121
click to vote
ML
2006
ACM
15 years 13 days ago
2006
ACM
This paper addresses the problem of transductive learning of the kernel matrix from a probabilistic perspective. We define the kernel matrix as a Wishart process prior and construc...
109
Voted
BMVC
2010
14 years 10 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
114
click to vote
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
96
Voted
CVPR
2010
IEEE
15 years 9 months ago
2010
IEEE
Maji and Berg [13] have recently introduced an explicit feature map approximating the intersection kernel. This enables efficient learning methods for linear kernels to be applied...
102
Voted
AAAI
2007
15 years 2 months ago
2007
String kernels directly model sequence similarities without the necessity of extracting numerical features in a vector space. Since they better capture complex traits in the seque...