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212
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BMCBI
2007
153views more  BMCBI 2007»
15 years 6 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
216
Voted
BMCBI
2011
14 years 10 months ago
Conotoxin Protein Classification Using Free Scores of Words and Support Vector Machines
Background: Conotoxin has been proven to be effective in drug design and could be used to treat various disorders such as schizophrenia, neuromuscular disorders and chronic pain. ...
Nazar Zaki, Stefan Wolfsheimer, Grégory Nue...
192
Voted
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
16 years 1 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
181
Voted
IEEEPACT
2006
IEEE
16 years 27 days ago
Hardware support for spin management in overcommitted virtual machines
Multiprocessor operating systems (OSs) pose several unique and conflicting challenges to System Virtual Machines (System VMs). For example, most existing system VMs resort to gan...
Philip M. Wells, Koushik Chakraborty, Gurindar S. ...
SP
2006
IEEE
148views Security Privacy» more  SP 2006»
16 years 26 days ago
SubVirt: Implementing malware with virtual machines
Attackers and defenders of computer systems both strive to gain complete control over the system. To maximize their control, both attackers and defenders have migrated to low-leve...
Samuel T. King, Peter M. Chen, Yi-Min Wang, Chad V...