Learning to rank in PRISM-Reference-Cited by-同舟云学术

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Learning to rank in PRISM

Published:2018-02 Issue: Volume:93 Page:561-577
ISSN:0888-613X
Container-title:International Journal of Approximate Reasoning
language:en
Short-container-title:International Journal of Approximate Reasoning

Author:

Kojima Ryosuke,Sato Taisuke

Funder

New Energy and Industrial Technology Development Organization

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference35 articles.

1. Translating embeddings for modeling multi-relational data;Bordes,2013

2. Learning to rank using gradient descent;Burges,2005

3. Learning to rank: from pairwise approach to listwise approach;Cao,2007

4. Problog: a probabilistic prolog and its application in link discovery;De Raedt,2007

5. Efficient, feature-based, conditional random field parsing;Finkel,2008

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