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NN
2006
Springer
100views Neural Networks» more  NN 2006»
14 years 10 months ago
Neural voting machines
In theories of cognition that view the mind as a system of interacting agents, there must be mechanisms for aggregate decision-making, such as voting. Here we show that certain vo...
Whitman Richards, H. Sebastian Seung, Galen Pickar...
ATAL
2010
Springer
14 years 12 months ago
Aggregating preferences in multi-issue domains by using maximum likelihood estimators
In this paper, we study a maximum likelihood estimation (MLE) approach to preference aggregation and voting when the set of alternatives has a multi-issue structure, and the voter...
Lirong Xia, Vincent Conitzer, Jérôme ...
MCS
2005
Springer
15 years 4 months ago
A Probability Model for Combining Ranks
Mixed Group Ranks is a parametric method for combining rank based classiers that is eective for many-class problems. Its parametric structure combines qualities of voting methods...
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
CORR
2007
Springer
128views Education» more  CORR 2007»
14 years 10 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...