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BMCBI
2006
152views more  BMCBI 2006»
13 years 7 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...
NDSS
2007
IEEE
14 years 2 months ago
Attribute-Based Publishing with Hidden Credentials and Hidden Policies
With Hidden Credentials Alice can send policyencrypted data to Bob in such a way that he can decrypt the data only with the right combination of credentials. Alice gains no knowle...
Apu Kapadia, Patrick P. Tsang, Sean W. Smith
VIS
2008
IEEE
161views Visualization» more  VIS 2008»
14 years 9 months ago
Brushing of Attribute Clouds for the Visualization of Multivariate Data
The visualization and exploration of multivariate data is still a challenging task. Methods either try to visualize all variables simultaneously at each position using glyph-based ...
Heike Jänicke, Michael Böttinger, Gerik Scheue...
WWW
2008
ACM
14 years 8 months ago
Towards a global schema for web entities
Popular entities often have thousands of instances on the Web. In this paper, we focus on the case where they are presented in table-like format, namely appearing with their attri...
Conglei Yao, Yongjian Yu, Sicong Shou, Xiaoming Li
ICML
1999
IEEE
14 years 8 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting