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» Some Results on Effective Randomness
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BMCBI
2007
178views more  BMCBI 2007»
15 years 6 months ago
SVM clustering
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
Stephen Winters-Hilt, Sam Merat
ISI
2006
Springer
15 years 6 months ago
An Embedded Bayesian Network Hidden Markov Model for Digital Forensics
In the paper we combine a Bayesian Network model for encoding forensic evidence during a given time interval with a Hidden Markov Model (EBN-HMM) for tracking and predicting the de...
Olivier Y. de Vel, Nianjun Liu, Terry Caelli, Tib&...
BMCBI
2005
127views more  BMCBI 2005»
15 years 6 months ago
Are scale-free networks robust to measurement errors?
Background: Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false nega...
Nan Lin, Hongyu Zhao
BMCBI
2005
125views more  BMCBI 2005»
15 years 6 months ago
DIALIGN-T: An improved algorithm for segment-based multiple sequence alignment
Background: We present a complete re-implementation of the segment-based approach to multiple protein alignment that contains a number of improvements compared to the previous ver...
Amarendran R. Subramanian, Jan Weyer-Menkhoff, Mic...
TWC
2008
120views more  TWC 2008»
15 years 6 months ago
A cartel maintenance framework to enforce cooperation in wireless networks with selfish users
Abstract-- In distributed wireless networks without centralized control, each user is its own authority to maximize its own performance. This distributed characteristic provides th...
Zhu Han, Zhu Ji, K. J. Ray Liu