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» Improved Adomian decomposition method
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IWANN
2005
Springer
14 years 1 months ago
Bias and Variance of Rotation-Based Ensembles
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
Juan José Rodríguez, Carlos J. Alons...
PR
2006
132views more  PR 2006»
13 years 7 months ago
Some approaches to improve tree-based nearest neighbour search algorithms
Nearest neighbour search is a widely used technique in pattern recognition. During the last three decades a large number of fast algorithms have been proposed. In this work we are...
Eva Gómez-Ballester, Luisa Micó, Jos...
JMLR
2008
108views more  JMLR 2008»
13 years 7 months ago
A Recursive Method for Structural Learning of Directed Acyclic Graphs
In this paper, we propose a recursive method for structural learning of directed acyclic graphs (DAGs), in which a problem of structural learning for a large DAG is first decompos...
Xianchao Xie, Zhi Geng
SIGKDD
2010
146views more  SIGKDD 2010»
13 years 2 months ago
Latent semantic indexing (LSI) fails for TREC collections
The aim of latent semantic indexing (LSI) is to uncover the relationships between terms, hidden concepts, and documents. LSI uses the matrix factorization technique known as singu...
Avinash Atreya, Charles Elkan
BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...