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126
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STOC
1993
ACM
117views Algorithms» more  STOC 1993»
15 years 7 months ago
Efficient noise-tolerant learning from statistical queries
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
Michael J. Kearns
162
Voted
ER
2004
Springer
161views Database» more  ER 2004»
15 years 9 months ago
Towards a Statistically Semantic Web
The envisioned Semantic Web aims to provide richly annotated and explicitly structured Web pages in XML, RDF, or description logics, based upon underlying ontologies and thesauri. ...
Gerhard Weikum, Jens Graupmann, Ralf Schenkel, Mar...
132
Voted
BMCBI
2008
153views more  BMCBI 2008»
15 years 3 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
143
Voted
BMCBI
2006
240views more  BMCBI 2006»
15 years 3 months ago
Statistical analysis of real-time PCR data
Background: Even though real-time PCR has been broadly applied in biomedical sciences, data processing procedures for the analysis of quantitative real-time PCR are still lacking;...
Joshua S. Yuan, Ann Reed, Feng Chen, C. Neal Stewa...
127
Voted
CHI
2005
ACM
16 years 4 months ago
Examining task engagement in sensor-based statistical models of human interruptibility
The computer and communication systems that office workers currently use tend to interrupt at inappropriate times or unduly demand attention because they have no way to determine ...
James Fogarty, Andrew Jensen Ko, Htet Htet Aung, E...