293 search results - page 50 / 59 » Methods for learning classifier combinations: no clear winne... |
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned obje...
KDD
2008
ACM
14 years 8 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...
ICCV
2003
IEEE
14 years 10 months ago
2003
IEEE
In this paper we show that efficient object recognition can be obtained by combining informative features with linear classification. The results demonstrate the superiority of in...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
Schulenburg [15] first proposed the idea to model different trader types by supplying different input information sets to a group of homogenous LCS agent. Gershoff [12] investigat...
IJCAI
2007
13 years 9 months ago
2007
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...