317 search results - page 1 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...
ENGL
2007
13 years 4 months ago
2007
— Most research in Knowledge Mining deal with the basic models like clustering, classification, regression, association rule mining and so on. In the process of quest for knowled...
PAMI
2007
13 years 4 months ago
2007
—A new unsupervised forward orthogonal search (FOS) algorithm is introduced for feature selection and ranking. In the new algorithm, features are selected in a stepwise way, one ...
ISDA
2010
IEEE
13 years 2 months ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
DEXAW
2007
IEEE
13 years 8 months ago
2007
IEEE
Peers and data objects in the Hybrid Overlay Network (HON) are organized in a ndimensional feature space. As the dimensionality increases, peers and data objects become sparse and ...