876 search results - page 74 / 176 » On a theory of learning with similarity functions |
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
COLT
2005
Springer
15 years 5 months ago
2005
Springer
We consider a natural framework of learning from correlated data, in which successive examples used for learning are generated according to a random walk over the space of possibl...
SPIRE
2010
Springer
14 years 10 months ago
2010
Springer
Abstract. The classical set theory provides a method for comparing objects using cardinality and intersection, in combination with well-known resemblance coefficients such as Dice,...
ALT
2006
Springer
15 years 8 months ago
2006
Springer
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
BMCBI
2007
14 years 12 months ago
2007
Background: Gene expression measurements during the development of the fly Drosophila melanogaster are routinely used to find functional modules of temporally co-expressed genes. ...