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ICML
2004
IEEE
16 years 7 months ago
Relational sequential inference with reliable observations
We present a trainable sequential-inference technique for processes with large state and observation spaces and relational structure. Our method assumes "reliable observation...
Alan Fern, Robert Givan
SECON
2007
IEEE
16 years 19 days ago
High-Level Application Development is Realistic for Wireless Sensor Networks
—Programming Wireless Sensor Network (WSN) applications is known to be a difficult task. Part of the problem is that the resource limitations of typical WSN nodes force programm...
Marcin Karpinski, Vinny Cahill
BMCBI
2008
112views more  BMCBI 2008»
15 years 6 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...
BMCBI
2006
159views more  BMCBI 2006»
15 years 6 months ago
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
Mikael Bodén, Zheng Yuan, Timothy L. Bailey
ML
2008
ACM
115views Machine Learning» more  ML 2008»
15 years 6 months ago
Calling variadic functions from a strongly-typed language
The importance of providing a mechanism to call C functions from high-level languages has been understood for many years and, these days, almost all statically-typed high-level-la...
Matthias Blume, Mike Rainey, John H. Reppy