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BMCBI
2006
108views more  BMCBI 2006»
15 years 4 months ago
Gene function classification using Bayesian models with hierarchy-based priors
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
Babak Shahbaba, Radford M. Neal
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 10 months ago
A Generalization of Proximity Functions for K-Means
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Junjie Wu, Hui Xiong, Jian Chen, Wenjun Zhou
NAR
2006
97views more  NAR 2006»
15 years 4 months ago
CTGA: the database for genetic disorders in Arab populations
The Arabs comprise a genetically heterogeneous group that resulted from the admixture of different populations throughout history. They share many common characteristics responsib...
Ghazi O. Tadmouri, Mahmoud Taleb Al Ali, Sarah Al-...
ICDM
2005
IEEE
116views Data Mining» more  ICDM 2005»
15 years 10 months ago
Learning Functional Dependency Networks Based on Genetic Programming
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 8 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic