328 search results - page 13 / 66 » Supervised rank aggregation |
AAAI
2006
13 years 10 months ago
2006
Voting (or rank aggregation) is a general method for aggregating the preferences of multiple agents. One voting rule of particular interest is the Kemeny rule, which minimizes the...
SBRN
2008
IEEE
14 years 3 months ago
2008
IEEE
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
SIGECOM
2010
ACM
14 years 1 months ago
2010
ACM
One of the fundamental problems in the theory of social choice is aggregating the rankings of a set of agents (or voters) into a consensus ranking. Rank aggregation has found appl...
ICPR
2008
IEEE
2008
IEEE
Weakly supervised learning using proportion-based information: An application to fisheries acoustics
14 years 10 months ago
This paper addresses the inference of probabilistic classification models using weakly supervised learning. In contrast to previous work, the use of proportion-based training data...
IWOCA
2010
Springer
13 years 3 months ago
2010
Springer
In this paper we obtain parameterized subexponential-time algorithms for p-Kemeny Aggregation (p-KAGG) -- a problem in social choice theory -- and for p-One-Sided Crossing Minimiza...