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» Efficient Learning of Semi-structured Data from Queries
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SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 4 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
ICDE
2009
IEEE
183views Database» more  ICDE 2009»
16 years 5 months ago
Efficient Indices Using Graph Partitioning in RDF Triple Stores
With the advance of the Semantic Web, varying RDF data were increasingly generated, published, queried, and reused via the Web. For example, the DBpedia, a community effort to extr...
Ying Yan, Chen Wang, Aoying Zhou, Weining Qian, Li...
CIKM
2007
Springer
15 years 9 months ago
The role of documents vs. queries in extracting class attributes from text
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
Marius Pasca, Benjamin Van Durme, Nikesh Garera
NIPS
2000
15 years 4 months ago
Active Learning for Parameter Estimation in Bayesian Networks
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
Simon Tong, Daphne Koller
EDBT
2009
ACM
145views Database» more  EDBT 2009»
15 years 7 months ago
Efficient top-k count queries over imprecise duplicates
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...
Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasli...