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133
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JMLR
2008
15 years 4 months ago
2008
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...
139
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ICANN
2010
Springer
15 years 4 months ago
2010
Springer
We discuss the problem of overfitting of probabilistic neural networks in the framework of statistical pattern recognition. The probabilistic approach to neural networks provides a...
156
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ECCV
2002
Springer
16 years 6 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
AINA
2008
IEEE
15 years 11 months ago
2008
IEEE
This paper presents structural properties of the Thai Web graph. We conduct an empirical study on the Web graphs induced from two Thai web snapshots crawled during January 2007 (5...
138
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IH
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. This paper draws together two methodologies for the detection of bit replacement steganography: the principle of maximum likelihood, which is statistically well-founded b...