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» The Predictability of Data Values
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112
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CSDA
2007
128views more  CSDA 2007»
15 years 18 days ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
118
Voted
GANDC
2011
93views more  GANDC 2011»
14 years 9 days ago
Bayesian spatial modeling and interpolation using copulas
Copulas have attracted much attention in spatial statistics over the past few years. They are used as a flexible alternative to traditional methods for nonGaussian spatial modelin...
Hannes Kazianka, Jürgen Pilz
113
Voted
WSDM
2012
ACM
295views Data Mining» more  WSDM 2012»
13 years 8 months ago
A straw shows which way the wind blows: ranking potentially popular items from early votes
Prediction of popular items in online content sharing systems has recently attracted a lot of attention due to the tremendous need of users and its commercial values. Different fr...
Peifeng Yin, Ping Luo, Min Wang, Wang-Chien Lee
95
Voted
ISMVL
1994
IEEE
87views Hardware» more  ISMVL 1994»
15 years 4 months ago
Multiple-Valued-Input TANT Networks
The paper proposes mvTANTs, three-level networks with multiple-valued inputs and binary outputs. These networks are a generalization of binary TANTs (Three level And Not networks...
Marek A. Perkowski, Malgorzata Chrzanowska-Jeske
ICANN
2007
Springer
15 years 2 months ago
Solving Selected Classification Problems in Bioinformatics Using Multilayer Neural Network Based on Multi-Valued Neurons (MLMVN)
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool for solving classification, recognition and prediction problems. This network has a number ...
Igor N. Aizenberg, Jacek M. Zurada