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» An Algebraic Approach to Data Mining: Some Examples
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ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
15 years 3 months ago
Active Learning from Multiple Noisy Labelers with Varied Costs
In active learning, where a learning algorithm has to purchase the labels of its training examples, it is often assumed that there is only one labeler available to label examples, ...
Yaling Zheng, Stephen D. Scott, Kun Deng
KDD
2009
ACM
298views Data Mining» more  KDD 2009»
16 years 28 days ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz
BMCBI
2005
87views more  BMCBI 2005»
15 years 6 months ago
BioCreAtIvE Task 1A: gene mention finding evaluation
Background: The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on...
Alexander S. Yeh, Alexander A. Morgan, Marc E. Col...
EMNLP
2008
15 years 7 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
SIGKDD
2010
111views more  SIGKDD 2010»
15 years 27 days ago
Unexpected results in automatic list extraction on the web
The discovery and extraction of general lists on the Web continues to be an important problem facing the Web mining community. There have been numerous studies that claim to autom...
Tim Weninger, Fabio Fumarola, Rick Barber, Jiawei ...