2100 search results - page 34 / 420 » Learning to rank on graphs |
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
NIPS
2004
14 years 11 months ago
2004
Many interesting multiclass problems can be cast in the general framework of label ranking defined on a given set of classes. The evaluation for such a ranking is generally given ...
EMNLP
2010
14 years 7 months ago
2010
We present a machine learning approach for the task of ranking previously answered questions in a question repository with respect to their relevance to a new, unanswered referenc...
CIAC
2010
Springer
15 years 2 months ago
2010
Springer
For a given node t in a directed graph G(VG, EG) and a positive integer k we study the problem of computing a set of k new links pointing to t – so called backlinks to t – prod...