Ranking and reranking with perceptron.

This work is inspired by the so-called reranking tasks in natural language processing. In this paper, we first study the ranking, reranking, and ordinal regression algorithms proposed recently in the context of ranks and margins. Then we propose a general framework for ranking and reranking, and int...

Täydet tiedot

Bibliografiset tiedot
Julkaisussa:Machine learning. 60, 1-3 (2005).
Päätekijä: Shen, Libin
Aineistotyyppi: Artikkeli
Kieli:English
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