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» Prediction on Spike Data Using Kernel Algorithms
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DIS
2009
Springer
14 years 3 months ago
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Yasser El-Manzalawy, Vasant Honavar
BMCBI
2007
103views more  BMCBI 2007»
13 years 9 months ago
Dynamic simulation of regulatory networks using SQUAD
Background: The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncove...
Alessandro Di Cara, Abhishek Garg, Giovanni De Mic...
DCC
2009
IEEE
14 years 9 months ago
Source Coding Scheme for Multiple Sequence Alignments
Rapid development of DNA sequencing technologies exponentially increases the amount of publicly available genomic data. Whole genome multiple sequence alignments represent a parti...
Pavol Hanus, Janis Dingel, Georg Chalkidis, Joachi...
CODES
2007
IEEE
14 years 3 months ago
Compile-time decided instruction cache locking using worst-case execution paths
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
Heiko Falk, Sascha Plazar, Henrik Theiling
BIBE
2005
IEEE
116views Bioinformatics» more  BIBE 2005»
14 years 2 months ago
Stochastic Model of Protease-Ligand Reactions
Prediction of protein tertiary structure based on amino acid sequence is one of the most challenging open questions in computational molecular biology. The two most common experim...
Paul E. Anderson, Douglas W. Raiford, Deacon J. Sw...