159 search results - page 29 / 32 » Regularization in matrix relevance learning |
ICPPW
2002
IEEE
15 years 4 months ago
2002
IEEE
generally meta-data, so that documents on any specific subject can be transparently retrieved. While quality control can in principle still rely on the traditional methods of peer-...
108
click to vote
ICML
2008
IEEE
16 years 18 days ago
2008
IEEE
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
MICCAI
2010
Springer
14 years 10 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
103
click to vote
BMCBI
2004
14 years 11 months ago
2004
Background: Kernel-based learning algorithms are among the most advanced machine learning methods and have been successfully applied to a variety of sequence classification tasks ...
101
click to vote
SAC
2009
ACM
15 years 6 months ago
2009
ACM
We introduce a new data mining problem: mining truth tables in binary datasets. Given a matrix of objects and the properties they satisfy, a truth table identifies a subset of pr...