1291 search results - page 148 / 259 » Learning Rules from Distributed Data |
163
Voted
ESWS
2011
Springer
14 years 6 months ago
2011
Springer
The number of open datasets available on the web is increasing rapidly with the rise of the Linked Open Data (LOD) cloud and various governmental efforts for releasing public data ...
122
Voted
CIARP
2006
Springer
15 years 4 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
108
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
104
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NIPS
2008
15 years 4 months ago
2008
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
131
Voted
JMLR
2012
13 years 5 months ago
2012
We study the problem of learning a group of principal tasks using a group of auxiliary tasks, unrelated to the principal ones. In many applications, joint learning of unrelated ta...