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MEMOCODE
2006
IEEE
15 years 5 months ago
A scenario-aware data flow model for combined long-run average and worst-case performance analysis
Data flow models are used for specifying and analysing signal processing and streaming applications. However, traditional data flow models are either not capable of expressing t...
Bart D. Theelen, Marc Geilen, Twan Basten, Jeroen ...
ICPPW
2002
IEEE
15 years 4 months ago
SNOW: Software Systems for Process Migration in High-Performance, Heterogeneous Distributed Environments
This paper reports our experiences on the Scalable Network Of Workstation (SNOW) project, which implements a novel methodology to support user-level process migration for traditio...
Kasidit Chanchio, Xian-He Sun
BMCBI
2005
141views more  BMCBI 2005»
14 years 11 months ago
A method for the prediction of GPCRs coupling specificity to G-proteins using refined profile Hidden Markov Models
Background: G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligan...
Nikolaos G. Sgourakis, Pantelis G. Bagos, Panagiot...
AUSDM
2006
Springer
82views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Generality Is Predictive of Prediction Accuracy
During knowledge acquisition multiple alternative potential rules all appear equally credible. This paper addresses the dearth of formal analysis about how to select between such a...
Geoffrey I. Webb, Damien Brain
NIPS
2007
15 years 1 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....