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BMCBI
2008
138views more  BMCBI 2008»
13 years 8 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Mining social networks for personalized email prioritization
Email is one of the most prevalent communication tools today, and solving the email overload problem is pressingly urgent. A good way to alleviate email overload is to automatical...
Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
ICMLA
2010
13 years 6 months ago
Smoothing Gene Expression Using Biological Networks
Gene expression (microarray) data have been used widely in bioinformatics. The expression data of a large number of genes from small numbers of subjects are used to identify inform...
Yue Fan, Mark A. Kon, Shinuk Kim, Charles DeLisi
PAMI
2007
185views more  PAMI 2007»
13 years 7 months ago
A Two-Level Generative Model for Cloth Representation and Shape from Shading
In this paper we present a two-level generative model for representing the images and surface depth maps of drapery and clothes. The upper level consists of a number of folds whic...
Feng Han, Song Chun Zhu
JCAL
2011
89views more  JCAL 2011»
12 years 11 months ago
What if undergraduate students designed their own web learning environment? Exploring students' web 2.0 mentality through partic
Following the increasing calls for a more skeptical analysis of web 2.0 and the empowerment of learners’ voices in formulating upcoming technologies, this paper elaborates on the...
George Palaigeorgiou, George Triantafyllakos, Avgo...