FSMRank: Feature Selection Algorithm for Learning to Rank


In recent years, there has been growing interest in learning to rank. The introduction of feature selection into different learning problems has been proven effective. These facts motivate us to investigate the problem of feature selection for learning to rank. We propose a joint convex optimization formulation which minimizes ranking errors while… (More)
DOI: 10.1109/TNNLS.2013.2247628


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Citations per Year

Citation Velocity: 18

Averaging 18 citations per year over the last 3 years.

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