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NC
2006
132views Neural Networks» more  NC 2006»
15 years 4 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
APAL
1998
56views more  APAL 1998»
15 years 4 months ago
Turing Degrees of Certain Isomorphic Images of Computable Relations
A model is computable if its domain is a computable set and its relations and functions are uniformly computable. Let A be a computable model and let R be an extra relation on the ...
Valentina S. Harizanov
CORR
2007
Springer
64views Education» more  CORR 2007»
15 years 4 months ago
Generating models for temporal representations
We discuss the use of model building for temporal representations. We chose Polish to illustrate our discussion because it has an interesting aspectual system, but the points we w...
Patrick Blackburn, Sébastien Hinderer
MOMPES
2007
IEEE
15 years 10 months ago
Adopting Computational Independent Models for Derivation of Architectural Requirements of Software Product Lines
The alignment of the software architecture and the functional requirements of a system is a demanding task because of the difficulty in tracing design elements to requirements. Th...
Alexandre Bragança, Ricardo Jorge Machado
NIPS
2003
15 years 5 months ago
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Density estimation with Gaussian Mixture Models is a popular generative technique used also for clustering. We develop a framework to incorporate side information in the form of e...
Noam Shental, Aharon Bar-Hillel, Tomer Hertz, Daph...