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» Correlated Data Inference
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99
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CEC
2007
IEEE
15 years 7 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao
92
Voted
CSDA
2006
145views more  CSDA 2006»
15 years 25 days ago
An improved method for generalized constrained canonical correlation analysis
An improved method for generalized constrained canonical correlation analysis (GCCANO) is proposed. In the original GCCANO, data matrices were first decomposed into the sum of sev...
Yoshio Takane, Haruo Yanai, Heungsun Hwang
109
Voted
NETWORKING
2004
15 years 2 months ago
Detecting Traffic Anomalies through Aggregate Analysis of Packet Header Data
If efficient network analysis tools were available, it could become possible to detect the attacks, anomalies and to appropriately take action to contain the attacks. In this paper...
Seong Soo Kim, A. L. Narasimha Reddy, Marina Vannu...
EUC
2005
Springer
15 years 6 months ago
Ubiquitous Computing: Challenges in Flexible Data Aggregation
Abstract. A dramatic increase of event monitoring capabilities by wireless sensors requires new, more sophisticated, event correlation over time and space. This new paradigm implie...
Eiko Yoneki, Jean Bacon
WSDM
2012
ACM
201views Data Mining» more  WSDM 2012»
13 years 8 months ago
Scalable inference in latent variable models
Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan N...