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NC
2006
132views Neural Networks» more  NC 2006»
13 years 8 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
ISMB
1998
13 years 10 months ago
Modeling Protein Homopolymeric Repeats: Possible Polyglutamine Structural Motifs for Huntington's Disease
Wedescribe a prototype system (Poly-X) for assisting an expert user in modelingprotein repeats. Poly-X reduces the large numberof degrees of freedomrequired to specify a protein m...
Richard H. Lathrop, Malcolm S. Casale, Douglas J. ...
WSC
1998
13 years 10 months ago
Model-based Systems Analysis Using CSIM18
Achieving the best possible cost performance for a system is often the goal of the manager of that system. This is true for large systems (such as an entire railroad system) as we...
Herbert D. Schwetman
WAW
2004
Springer
80views Algorithms» more  WAW 2004»
14 years 2 months ago
Dominating Sets in Web Graphs
In this paper we study the size of generalised dominating sets in two graph processes which are widely used to model aspects of the world-wide web. On the one hand, we show that gr...
Colin Cooper, Ralf Klasing, Michele Zito
CCE
2007
13 years 8 months ago
Control of integrated process networks - A multi-time scale perspective
In this paper, we analyze the dynamics of integrated process networks featuring large recycle streams and small purge streams. We consider a prototype network comprising of a reac...
Michael Baldea, Prodromos Daoutidis