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TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
PERCOM
2005
ACM
14 years 1 months ago
Applying Active Space Principles to Active Classrooms
Recent developments in pervasive computing have enabled new features for collaboration and instrumentation in educational technology systems. An infrastructure for the integration...
Chad Peiper, David Warden, Ellick Chan, Roy H. Cam...
ICDCS
2002
IEEE
14 years 26 days ago
Incremental Replication for Mobility Support in OBIWAN
The need for sharing is well known in a large number of distributed collaborative applications. These applications are difficult to develop for wide area (possibly mobile) networ...
Luís Veiga, Paulo Ferreira
ICDCS
2008
IEEE
14 years 2 months ago
Achieving Global End-to-End Maxmin in Multihop Wireless Networks
Following the huge commercial success of WLAN, multihop wireless networks are expected to lead in the next wave of deployment. Fundamental methods for traffic engineering must be...
Liang Zhang, Shigang Chen, Ying Jian
JMLR
2012
11 years 10 months ago
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters
To relax the homogeneity assumption of classical dynamic Bayesian networks (DBNs), various recent studies have combined DBNs with multiple changepoint processes. The underlying as...
Marco Grzegorczyk, Dirk Husmeier