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» Learning from Multiple Sources of Inaccurate Data
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EMNLP
2010
15 years 1 months ago
Learning Recurrent Event Queries for Web Search
Recurrent event queries (REQ) constitute a special class of search queries occurring at regular, predictable time intervals. The freshness of documents ranked for such queries is ...
Ruiqiang Zhang, Yuki Konda, Anlei Dong, Pranam Kol...
121
Voted
IQIS
2004
ACM
15 years 9 months ago
Utility-based Resolution of Data Inconsistencies
A virtual database system is software that provides unified access to multiple information sources. If the sources are overlapping in their contents and independently maintained,...
Amihai Motro, Philipp Anokhin, Aybar C. Acar
132
Voted
ICANN
2009
Springer
15 years 10 months ago
Selective Attention Improves Learning
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
Antti Yli-Krekola, Jaakko Särelä, Harri ...
160
Voted
IPPS
2005
IEEE
15 years 9 months ago
A Parallel Algorithm for Correlating Event Streams
This paper describes a parallel algorithm for correlating or “fusing” streams of data from sensors and other sources of information. The algorithm is useful for applications w...
Daniel M. Zimmerman, K. Mani Chandy
152
Voted
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
13 years 5 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu