1605 search results - page 140 / 321 » Metric Learning to Rank |
150
Voted
ECIR
2009
Springer
15 years 1 months ago
2009
Springer
Abstract. Active learning refers to the task of devising a ranking function that, given a classifier trained from relatively few training examples, ranks a set of additional unlabe...
154
Voted
EMNLP
2011
14 years 3 months ago
2011
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
117
Voted
ACL
2012
13 years 6 months ago
2012
We investigate the problem of ordering medical events in unstructured clinical narratives by learning to rank them based on their time of occurrence. We represent each medical eve...
129
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FSMNLP
2008
Springer
15 years 5 months ago
2008
Springer
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
149
Voted
CORR
2006
Springer
15 years 3 months ago
2006
Springer
This paper evaluates the robustness of learning from implicit feedback in web search. In particular, we create a model of user behavior by drawing upon user studies in laboratory ...