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KDD
2012
ACM
11 years 9 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
KDD
2012
ACM
11 years 9 months ago
2012
ACM
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
JAIR
2012
11 years 9 months ago
2012
To achieve scalability of query answering, the developers of Semantic Web applications are often forced to use incomplete OWL 2 reasoners, which fail to derive all answers for at ...
SIGIR
2012
ACM
11 years 9 months ago
2012
ACM
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
SIGIR
2012
ACM
11 years 9 months ago
2012
ACM
Aggregated search is the task of blending results from specialized search services or verticals into the Web search results. While many studies have focused on aggregated search t...