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» Sequence Comparison Using a Relational Database Approach
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BIBM
2008
IEEE
172views Bioinformatics» more  BIBM 2008»
15 years 7 months ago
Boosting Methods for Protein Fold Recognition: An Empirical Comparison
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
Yazhene Krishnaraj, Chandan K. Reddy
AVBPA
2003
Springer
135views Biometrics» more  AVBPA 2003»
15 years 4 months ago
Comparison of MLP and GMM Classifiers for Face Verification on XM2VTS
We compare two classifier approaches, namely classifiers based on Multi Layer Perceptrons (MLPs) and Gaussian Mixture Models (GMMs), for use in a face verification system. The comp...
Fabien Cardinaux, Conrad Sanderson, Sébasti...
IDA
2007
Springer
15 years 14 days ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka
102
Voted
BMCBI
2004
122views more  BMCBI 2004»
15 years 11 days ago
A comprehensive comparison of comparative RNA structure prediction approaches
Background: An increasing number of researchers have released novel RNA structure analysis and prediction algorithms for comparative approaches to structure prediction. Yet, indep...
Paul P. Gardner, Robert Giegerich
ICDE
2007
IEEE
118views Database» more  ICDE 2007»
16 years 1 months ago
Using Queries to Associate Metadata with Data
As relational databases proliferate and become increasingly complex, both in their internal structure and in their interactions with other databases and applications, there is a g...
Divesh Srivastava, Yannis Velegrakis