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» Selecting a Relevant Set of Examples to Learn IE-Rules
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MM
2009
ACM
147views Multimedia» more  MM 2009»
15 years 6 months ago
Distribution-based concept selection for concept-based video retrieval
Query-to-concept mapping plays one of the keys to concept-based video retrieval. Conventional approaches try to find concepts that are likely to co-occur in the relevant shots fro...
Juan Cao, HongFang Jing, Chong-Wah Ngo, Yongdong Z...
AAAI
2000
15 years 1 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
ESE
2000
102views Database» more  ESE 2000»
14 years 11 months ago
Picking the Right Problem Frame-An Empirical Study
Problem frames are a relatively new approach to requirements engineering, promising benefits not only in elicitation but also in subsequent design, by allowing their users to selec...
Keith Phalp, Karl Cox
JMLR
2010
116views more  JMLR 2010»
14 years 6 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
85
Voted
AAAI
2008
15 years 2 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch