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AUSAI
2004
Springer
15 years 3 months ago
Using Machine Learning Techniques to Combine Forecasting Methods
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ENTCS
2008
79views more  ENTCS 2008»
14 years 9 months ago
The Compositional Method and Regular Reachability
The compositional method, introduced by Feferman and Vaught in 1959, allows to reduce the model-checking problem for a product structure to the model-checking problem for its fact...
Ingo Felscher
76
Voted
ICA
2007
Springer
15 years 3 months ago
Sparse Component Analysis in Presence of Noise Using an Iterative EM-MAP Algorithm
Abstract. In this paper, a new algorithm for source recovery in underdetermined Sparse Component Analysis (SCA) or atomic decomposition on over-complete dictionaries is presented i...
Hadi Zayyani, Massoud Babaie-Zadeh, G. Hosein Mohi...
ICCV
2003
IEEE
15 years 11 months ago
Separating Reflection Components of Textured Surfaces using a Single Image
The presence of highlights, which in dielectric inhomogeneous objects are linear combination of specular and diffuse reflection components, is inevitable. A number of methods have...
Robby T. Tan, Katsushi Ikeuchi
ICPR
2008
IEEE
15 years 4 months ago
Incremental nested partition method
In this paper, we introduce an incremental nested partition algorithm for finding the inner structuralization of dynamic datasets. Here we use three partition criteria that allow...
Jyrko Correa-Morris, José Ruiz-Shulcloper, ...