| Abstract
|
<p>To improve estimation results, ou … <p>To improve estimation results, outputs of multiple neural networks can be aggregated into a committee output. In this paper, we study the usefulness of the leverages based information for creating accurate neural network committees. Based on the approximate leave-one-out error and the suggested, generalization error based, diversity test, accurate and diverse networks are selected and fused into a committee using data dependent aggregation weights. Four data dependent aggregation schemes – based on local variance, covariance, Choquet integral, and the generalized Choquet integral – are investigated. The effectiveness of the approaches is tested on one artificial and three real world data sets.</p> and three real world data sets.</p>
|
| Author
|
Antanas Verikas +
, Marija Bacauskiene +
, Adas Gelzinis +
|
| Conference
|
11th International Conference, ICONIP 2004, Calcutta
|
| DOI
|
http://dx.doi.org/10.1007/978-3-540-30499-9_68 +
|
| Diva
|
http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:300225
|
| EndPage
|
451 +
|
| HostPublication
|
Neural information processing +
|
| PublicationType
|
Conference Paper +
|
| Series
|
Lecture notes in computer science ; 3316 +
|
| StartPage
|
446 +
|
| Title
|
Leverages Based Neural Networks Fusion +
|
| Year
|
2004 +
|
| Has queryThis property is a special property in this wiki.
|
Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
, Publications:Leverages Based Neural Networks Fusion +
|
| Categories |
Publication +
|
| Modification dateThis property is a special property in this wiki.
|
30 September 2016 20:40:58 +
|
