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Article
Multi-agent soft constraint aggregation via sequential voting: theoretical and experimental results
We consider scenarios where several agents must aggregate their preferences over a large set of candidates with a combinatorial structure. That is, each candidate is an element of the Cartesian product of the ...
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Article
Open AccessVoting with random classifiers (VORACE): theoretical and experimental analysis
In many machine learning scenarios, looking for the best classifier that fits a particular dataset can be very costly in terms of time and resources. Moreover, it can require deep knowledge of the specific dom...