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BMCBI
2011
13 years 1 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
BMCBI
2008
112views more  BMCBI 2008»
13 years 10 months ago
GlycomeDB - integration of open-access carbohydrate structure databases
Background: Although carbohydrates are the third major class of biological macromolecules, after proteins and DNA, there is neither a comprehensive database for carbohydrate struc...
René Ranzinger, Stephan Herget, Thomas Wett...
ICCV
2007
IEEE
14 years 4 months ago
Contextual Distance for Data Perception
Structural perception of data plays a fundamental role in pattern analysis and machine learning. In this paper, we develop a new structural perception of data based on local conte...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
VLDB
2003
ACM
147views Database» more  VLDB 2003»
14 years 10 months ago
RE-tree: an efficient index structure for regular expressions
Due to their expressive power, Regular Expressions (REs) are quickly becoming an integral part of language specifications for several important application scenarios. Many of thes...
Chee Yong Chan, Minos N. Garofalakis, Rajeev Rasto...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 11 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...