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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 9 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
FAW
2007
Springer
110views Algorithms» more  FAW 2007»
14 years 3 months ago
Maximizing the Number of Independent Labels in the Plane
In this paper, we consider a map labeling problem to maximize the number of independent labels in the plane. We first investigate the point labeling model that each label can be ...
Kuen-Lin Yu, Chung-Shou Liao, Der-Tsai Lee
ADS
2004
Springer
14 years 2 months ago
A Categorical Annotation Scheme for Emotion in the Linguistic Content of Dialogue
Abstract. If we wish to implement dialogue systems which express emotion, dialogue corpora annotated for emotion would be a valuable resource. In order to develop such corpora we r...
Richard Craggs, Mary McGee Wood
CVPR
2006
IEEE
14 years 2 months ago
Automatic Landmark Tracking and its Application to the Optimization of Brain Conformal Mapping
Anatomical features on cortical surfaces are usually represented by landmark curves, called sulci/gyri curves. These landmark curves are important information for neuroscientists ...
Lok Ming Lui, Yalin Wang, Tony F. Chan, Paul M. Th...
KDD
2008
ACM
259views Data Mining» more  KDD 2008»
14 years 9 months ago
Using ghost edges for classification in sparsely labeled networks
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
Brian Gallagher, Hanghang Tong, Tina Eliassi-Rad, ...