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177
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PKDD
1999
Springer
15 years 11 months ago
1999
Springer
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
162
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FLAIRS
2001
15 years 8 months ago
2001
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
200
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SDM
2004
SIAM
15 years 8 months ago
2004
SIAM
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
233
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DAGSTUHL
1997
15 years 8 months ago
1997
There is a wide range of applications for which surface interpolation or approximation from scattered data points in space is important. Dependent on the field of application and...
148
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ADCM
2000
15 years 7 months ago
2000
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...