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2007
IEEE
13 years 10 months ago
Predictive performance modelling of parallel component compositions
Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such applications is therefore dependent o...
Lei Zhao, Stephen A. Jarvis
MLDM
2009
Springer
14 years 4 months ago
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
Daniel Nikovski, Ganesan Ramachandran
BMCBI
2005
114views more  BMCBI 2005»
13 years 10 months ago
A new decoding algorithm for hidden Markov models improves the prediction of the topology of all-beta membrane proteins
Background: Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of pre...
Piero Fariselli, Pier Luigi Martelli, Rita Casadio
ICML
2005
IEEE
14 years 11 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
EUROMICRO
2005
IEEE
14 years 3 months ago
Modelling of Input-Parameter Dependency for Performance Predictions of Component-Based Embedded Systems
The guaranty of meeting the timing constraints during the design phase of real-time component-based embedded software has not been realized. To satisfy real-time requirements, we ...
Egor Bondarev, Peter H. N. de With, Michel R. V. C...