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» On the Error Parameter of Dispersers
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ANNPR
2006
Springer
15 years 10 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
AUSDM
2006
Springer
91views Data Mining» more  AUSDM 2006»
15 years 10 months ago
Towards Automated Record Linkage
The field of Record Linkage is concerned with identifying records from one or more datasets which refer to the same underlying entities. Where entity-unique identifiers are not av...
Karl Goiser, Peter Christen
NETWORKING
2007
15 years 7 months ago
Performance and Equilibrium Analysis of Heterogeneous IEEE 802.11 Based WLANs
This paper presents a general model to study the medium access control (MAC) layer performance and equilibrium of WLANs consisting of nodes with different MAC parameters (e.g., ba...
Hao Zhu
ACL
2004
15 years 7 months ago
Annealing Techniques For Unsupervised Statistical Language Learning
Exploiting unannotated natural language data is hard largely because unsupervised parameter estimation is hard. We describe deterministic annealing (Rose et al., 1990) as an appea...
Noah A. Smith, Jason Eisner
FLAIRS
2003
15 years 7 months ago
Optimizing F-Measure with Support Vector Machines
Support vector machines (SVMs) are regularly used for classification of unbalanced data by weighting more heavily the error contribution from the rare class. This heuristic techn...
David R. Musicant, Vipin Kumar, Aysel Ozgur