75 search results - page 7 / 15 » Instance-Based Label Ranking using the Mallows Model |
KDD
2012
ACM
11 years 10 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....
WWW
2007
ACM
14 years 8 months ago
2007
ACM
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
EACL
2009
ACL Anthology
14 years 8 months ago
2009
ACL Anthology
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
SIGIR
2011
ACM
12 years 10 months ago
2011
ACM
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...