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» Illustrative Deformation for Data Exploration
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CSDA
2007
134views more  CSDA 2007»
13 years 8 months ago
Variational approximations in Bayesian model selection for finite mixture distributions
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Clare A. McGrory, D. M. Titterington
IV
2010
IEEE
193views Visualization» more  IV 2010»
13 years 7 months ago
Drawing Clustered Bipartite Graphs in Multi-circular Style
Abstract—Bipartite graphs are often used to illustrate relationships between two sets of data, such as web pages and visitors. At the same time, information is often organized hi...
Takao Ito, Kazuo Misue, Jiro Tanaka
EMNLP
2009
13 years 6 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
TIT
2010
125views Education» more  TIT 2010»
13 years 3 months ago
Target detection via network filtering
A method of `network filtering' has been proposed recently to detect the effects of certain external perturbations on the interacting members in a network. However, with larg...
Shu Yang, Eric D. Kolaczyk
TVCG
2012
201views Hardware» more  TVCG 2012»
11 years 11 months ago
Exact and Approximate Area-Proportional Circular Venn and Euler Diagrams
— Scientists conducting microarray and other experiments use circular Venn and Euler diagrams to analyze and illustrate their results. As one solution to this problem, this artic...
Leland Wilkinson