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» Semi-supervised Learning from General Unlabeled Data
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JCDL
2006
ACM
119views Education» more  JCDL 2006»
14 years 1 months ago
Learning from artifacts: metadata utilization analysis
Describes the MARC Content Designation Utilization Project, which is examining a very large set of metadata records as artifacts of the library cataloging enterprise. This is the ...
William E. Moen, Shawne D. Miksa, Amy Eklund, Serh...
EMNLP
2010
13 years 5 months ago
Function-Based Question Classification for General QA
In contrast with the booming increase of internet data, state-of-art QA (question answering) systems, otherwise, concerned data from specific domains or resources such as search e...
Fan Bu, Xingwei Zhu, Yu Hao, Xiaoyan Zhu
WSC
2004
13 years 9 months ago
A Generalized Multiple Response Surface Methodology for Complex Computer Simulation Applications
This work provides a generalization of the traditional response surface methodology (RSM) that can be applied to complex, multi-objective simulation studies. These problems involv...
Jeffrey B. Schamburg, Donald E. Brown
SACMAT
2009
ACM
14 years 2 months ago
Automating role-based provisioning by learning from examples
Role-based provisioning has been adopted as a standard component in leading Identity Management products due to its low administration cost. However, the cost of adjusting existin...
Qun Ni, Jorge Lobo, Seraphin B. Calo, Pankaj Rohat...
ICML
2010
IEEE
13 years 9 months ago
Metric Learning to Rank
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...
Brian McFee, Gert R. G. Lanckriet