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"Universal Approximation Functions for Fast Learning to Rank: Replacing ..."

Daniel Cohen et al. (2018)

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DOI: 10.1145/3209978.3210137

access: closed

type: Conference or Workshop Paper

metadata version: 2018-11-21

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  dblp key:
  - conf/sigir/CohenFZAC18
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Daniel Cohen, John Foley, Hamed Zamani, James Allan, W. Bruce Croft:
Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks. SIGIR 2018: 1017-1020

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