2100 search results - page 34 / 420 » Learning to rank on graphs |
123
click to vote
ECML
2007
Springer
15 years 8 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 ...
114
click to vote
ICML
2010
IEEE
15 years 3 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 ...
107
click to vote
NIPS
2004
15 years 3 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 ...
98
Voted
EMNLP
2010
14 years 12 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...
113
Voted
CIAC
2010
Springer
15 years 6 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...