274 search results - page 19 / 55 » Ranking with Uncertain Labels |
SIGIR
2011
ACM
12 years 11 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...
MIR
2004
ACM
14 years 2 months ago
2004
ACM
In this paper, we propose an autonomous learning scheme to automatically build visual semantic concept models from the output data of Internet search engines without any manual la...
ECIR
2008
Springer
13 years 10 months ago
2008
Springer
Abstract. This paper investigates a new extension of the Probabilistic Latent Semantic Analysis (PLSA) model [6] for text classification where the training set is partially labeled...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
ISDA
2008
IEEE
14 years 3 months ago
2008
IEEE
In multi-label text databases one or more labels, or categories, can be assigned to a single document. In many such databases there can be correlation on the assignment of subsets...