1454 search results - page 130 / 291 » Learning and Extending Sublanguages |
148
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
162
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
147
Voted
IUI
2000
ACM
15 years 8 months ago
2000
ACM
For intelligent interfaces attempting to learn a user’s interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each trai...
113
Voted
ALT
2003
Springer
15 years 7 months ago
2003
Springer
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
130
Voted
KDD
2008
ACM
16 years 4 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...