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» Improved Low-Degree Testing and its Applications
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BMCBI
2010
105views more  BMCBI 2010»
13 years 8 months ago
A knowledge-guided strategy for improving the accuracy of scoring functions in binding affinity prediction
Background: Current scoring functions are not very successful in protein-ligand binding affinity prediction albeit their popularity in structure-based drug designs. Here, we propo...
Tiejun Cheng, Zhihai Liu, Renxiao Wang
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 10 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...
ESEM
2007
ACM
14 years 16 days ago
A Critical Analysis of Empirical Research in Software Testing
In the foreseeable future, software testing will remain one of the best tools we have at our disposal to ensure software dependability. Empirical studies are crucial to software t...
Lionel C. Briand
JCP
2006
92views more  JCP 2006»
13 years 8 months ago
A Novel Pulse Echo Correlation Tool for Transmission Path Testing and Fault Diagnosis
Abstract-- In this paper a novel pulse sequence testing methodology is presented [22] as an alternative to Time Domain Reflectometry (TDR) for transmission line health condition mo...
David M. Horan, Richard A. Guinee
BMCBI
2007
115views more  BMCBI 2007»
13 years 8 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault