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IJON
1998
158views more  IJON 1998»
14 years 11 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
JASIS
2006
90views more  JASIS 2006»
14 years 12 months ago
Can scientific journals be classified in terms of aggregated journal-journal citation relations using the Journal Citation Repor
The aggregated citation relations among journals included in the Science Citation Index provide us with a huge matrix which can be analyzed in various ways. Using principal compon...
Loet Leydesdorff
LWA
2004
15 years 1 months ago
Dirichlet Enhanced Latent Semantic Analysis
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
Kai Yu, Shipeng Yu, Volker Tresp
JTAER
2007
90views more  JTAER 2007»
14 years 11 months ago
One-size e-business adoption model does not fit all
This empirical study of organisational e-business adoption, utilising both qualitative and quantitative data collection methods, examines four major factors influencing adoption i...
Barbara Roberts, Mark Toleman
SODA
2010
ACM
208views Algorithms» more  SODA 2010»
15 years 9 months ago
Correlation Robust Stochastic Optimization
We consider a robust model proposed by Scarf, 1958, for stochastic optimization when only the marginal probabilities of (binary) random variables are given, and the correlation be...
Shipra Agrawal, Yichuan Ding, Amin Saberi, Yinyu Y...