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Found 2 papers, 2 papers with code
Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers
By removing redundant or noisy features, the accuracy of ranking or classification can be improved and the computational cost of the subsequent learning steps can be reduced.
Feature Selection for Recommender Systems with Quantum Computing
The promise of quantum computing to open new unexplored possibilities in several scientific fields has been long discussed, but until recently the lack of a functional quantum computer has confined this discussion mostly to theoretical algorithmic papers.
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