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BMCBI
2010
131views more  BMCBI 2010»
14 years 7 months ago
Dynamics based alignment of proteins: an alternative approach to quantify dynamic similarity
Background: The dynamic motions of many proteins are central to their function. It therefore follows that the dynamic requirements of a protein are evolutionary constrained. In or...
Márton Münz, Rune B. Lyngsø, Jo...
TNN
2010
234views Management» more  TNN 2010»
14 years 6 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
CIKM
2011
Springer
13 years 12 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
13 years 2 months ago
Differentially private transit data publication: a case study on the montreal transportation system
With the wide deployment of smart card automated fare collection (SCAFC) systems, public transit agencies have been benefiting from huge volume of transit data, a kind of sequent...
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai, N&e...

Book
5396views
16 years 10 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li