395 search results - page 30 / 79 » Learning to rank with partially-labeled data |
109
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ICML
2009
IEEE
16 years 2 months ago
2009
IEEE
Subgroup discovery is the task of identifying the top k patterns in a database with most significant deviation in the distribution of a target attribute Y . Subgroup discovery is ...
139
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AAAI
2012
13 years 4 months ago
2012
We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
115
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
Most work on preference learning has focused on pairwise preferences or rankings over individual items. In this paper, we present a method for learning preferences over sets of it...
131
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KDD
2007
ACM
15 years 8 months ago
2007
ACM
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
157
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WWW
2007
ACM
16 years 2 months ago
2007
ACM
Learning Villages (LV) is an E-learning platform for people's online discussions and frequently citing postings of one another. In this paper, we propose a novel method to ra...