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PAKDD
2000
ACM
13 years 8 months ago
2000
ACM
PAKDD
2000
ACM
13 years 8 months ago
2000
ACM
In order to discover relevant weights of neural networks, this paper proposes a novel method to learn a distinct squared penalty factor for each weight as a minimization problem ov...
PAKDD
2000
ACM
13 years 8 months ago
2000
ACM
In clustering, global feature selection algorithms attempt to select a common feature subset that is relevant to all clusters. Consequently, they are not able to identify individu...
PAKDD
2000
ACM
13 years 8 months ago
2000
ACM
Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
PAKDD
2000
ACM
13 years 8 months ago
2000
ACM
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...