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https://github.com/jjfiv/ltr2net
Code and data for "Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks"
https://github.com/jjfiv/ltr2net
gov2 lambdamart learning-to-rank neural-network paper random-forest sigir
Last synced: about 2 months ago
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Code and data for "Universal Approximation Functions for Fast Learning to Rank: Replacing Expensive Regression Forests with Simple Feed-Forward Networks"
- Host: GitHub
- URL: https://github.com/jjfiv/ltr2net
- Owner: jjfiv
- License: bsd-3-clause
- Created: 2018-05-02T15:08:01.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-07-11T17:35:43.000Z (over 6 years ago)
- Last Synced: 2023-03-12T10:11:38.466Z (almost 2 years ago)
- Topics: gov2, lambdamart, learning-to-rank, neural-network, paper, random-forest, sigir
- Language: Python
- Size: 11.7 KB
- Stars: 9
- Watchers: 2
- Forks: 5
- Open Issues: 0