1006 search results - page 24 / 202 » A Case Study for Learning from Imbalanced Data Sets |
INCDM
2010
Springer
13 years 6 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
ECCV
2004
Springer
14 years 1 months ago
2004
Springer
The problem of biometric sensor interoperability has received limited attention in the literature. Most biometric systems operate under the assumption that the data (viz., images) ...
DIAGRAMS
2004
Springer
14 years 1 months ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
COLT
2010
Springer
13 years 5 months ago
2010
Springer
We consider the dimensionality-reduction problem (finding a subspace approximation of observed data) for contaminated data in the high dimensional regime, where the number of obse...
FLAIRS
2006
13 years 9 months ago
2006
Inexact graph matching has become an important research area because it is used to find similarities among objects in several real domains such as chemical and biological compound...