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» Hierarchical exploration of large multivariate data sets
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PROFES
2010
Springer
14 years 20 days ago
Regularities in Learning Defect Predictors
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Burak Turhan, Ayse Basar Bener, Tim Menzies
PAKDD
2010
ACM
193views Data Mining» more  PAKDD 2010»
13 years 7 months ago
As Time Goes by: Discovering Eras in Evolving Social Networks
Abstract. Within the large body of research in complex network analysis, an important topic is the temporal evolution of networks. Existing approaches aim at analyzing the evolutio...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
ACL
1990
13 years 10 months ago
Mixed Initiative in Dialogue: An Investigation into Discourse Segmentation
Conversation between two people is usually of MIXED-INITIATIVE, with CONTROL over the conversation being transferred from one person to another. We apply a set of rules for the tr...
Marilyn A. Walker, Steve Whittaker
VISUALIZATION
1997
IEEE
14 years 28 days ago
Application-controlled demand paging for out-of-core visualization
In the area of scientific visualization, input data sets are often very large. In visualization of Computational Fluid Dynamics (CFD) in particular, input data sets today can surp...
Michael Cox, David Ellsworth
AAAI
2006
13 years 10 months ago
Semi-supervised Multi-label Learning by Constrained Non-negative Matrix Factorization
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
Yi Liu, Rong Jin, Liu Yang