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» Multivariate Information Bottleneck
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INFOVIS
2005
IEEE
15 years 5 months ago
Multivariate Glyphs for Multi-Object Clusters
Aggregating items can simplify the display of huge quantities of data values at the cost of losing information about the attribute values of the individual items. We propose a dis...
Eleanor Boyle Chlan, Penny Rheingans
ECIS
2000
15 years 1 months ago
Maximizing Information Liquidity in Electronic Commerce
The emerging bottleneck in electronic commerce is that of converting vast amounts of customer behavior data into useful information. We view this as a problem of maximizing informa...
Vasant Dhar, Arun Sundararajan
CSDA
2008
94views more  CSDA 2008»
14 years 11 months ago
Feature significance for multivariate kernel density estimation
Multivariate kernel density estimation provides information about structure in data. Feature significance is a technique for deciding whether features
Tarn Duong, Arianna Cowling, Inge Koch, M. P. Wand
KDD
2012
ACM
179views Data Mining» more  KDD 2012»
13 years 2 months ago
Web image prediction using multivariate point processes
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
Gunhee Kim, Fei-Fei Li, Eric P. Xing
ISMIS
2011
Springer
14 years 2 months ago
An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models
In the paper we present a new evolutionary algorithm for induction of regression trees. In contrast to the typical top-down approaches it globally searches for the best tree struct...
Marcin Czajkowski, Marek Kretowski