1291 search results - page 158 / 259 » Learning Rules from Distributed Data |
113
Voted
KDD
2003
ACM
16 years 3 months ago
2003
ACM
Classification is a well-established operation in text mining. Given a set of labels A and a set DA of training documents tagged with these labels, a classifier learns to assign l...
121
Voted
ICML
1998
IEEE
16 years 3 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
141
Voted
ATAL
2010
Springer
15 years 2 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...
124
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties, with potential implications ...
122
Voted
KDD
2008
ACM
16 years 3 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...