2018 search results - page 64 / 404 » Magnitude-preserving ranking algorithms |
179
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AAAI
2011
14 years 6 months ago
2011
We propose CCRank, the first parallel algorithm for learning to rank, targeting simultaneous improvement in learning accuracy and efficiency. CCRank is based on cooperative coev...
167
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DAM
2008
15 years 6 months ago
2008
: We consider a problem of searching an element in a partially ordered set (poset). The goal is to find a search strategy which minimizes the number of comparisons. Ben-Asher, Farc...
163
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EMNLP
2009
15 years 3 months ago
2009
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
195
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TKDE
2012
13 years 8 months ago
2012
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
157
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SEKE
2007
Springer
16 years 5 days ago
2007
Springer
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...