4 Result(s)
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Article
Cristina Cornelio
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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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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...
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Open AccessCombining data and theory for derivable scientific discovery with AI-Descartes
Scientists aim to discover meaningful formulae that accurately describe experimental data. Mathematical models of natural phenomena can be manually created from domain knowledge and fitted to data, or, in cont...
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Open AccessEvolving scientific discovery by unifying data and background knowledge with AI Hilbert
The discovery of scientific formulae that parsimoniously explain natural phenomena and align with existing background theory is a key goal in science. Historically, scientists have derived natural laws by mani...
