Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data

We propose RoBiRank, a ranking algorithm that is motivated by observing a close connection between evaluation metrics for learning to rank and loss functions for robust classification. The algorithm shows a very competitive performance on standard benchmark datasets against other representative algo...

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Hauptverfasser:	Yun, Hyokun, Raman, Parameswaran, Vishwanathan, S. V. N
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Distributed, Parallel, and Cluster Computing Computer Science - Learning Statistics - Computation Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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