248 search results - page 5 / 50 » Perturbation based Large Margin Approach for Ranking |
ESANN
2006
13 years 8 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we consider the problem of geolocating an unknown emitter by a satellite cluster. We formulate the problem as the maximum likelihood location estimation by using TD...
BMCBI
2011
12 years 11 months ago
2011
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
ICML
2009
IEEE
14 years 2 months ago
2009
IEEE
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
NLDB
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. In this paper, we target document ranking in a highly technical field with the aim to approximate a ranking that is obtained through an existing ontology (knowledge stru...