Sciweavers

270 search results - page 14 / 54
» Use of Ensemble Based on GA for Imbalance Problem
Sort
View
AI
2002
Springer
13 years 7 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
WIRN
2005
Springer
14 years 1 months ago
Ensembles Based on Random Projections to Improve the Accuracy of Clustering Algorithms
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
Alberto Bertoni, Giorgio Valentini
INFOCOM
2010
IEEE
13 years 6 months ago
Asymmetry-Aware Real-Time Distributed Joint Resource Allocation in IEEE 802.22 WRANs
—In IEEE 802.22 Wireless Regional Area Networks (WRANs), each Base Station (BS) solves a complex resource allocation problem of simultaneously determining the channel to reuse, p...
Hyoil Kim, Kang G. Shin
SETN
2004
Springer
14 years 1 months ago
Music Performer Verification Based on Learning Ensembles
In this paper the problem of music performer verification is introduced. Given a certain performance of a musical piece and a set of candidate pianists the task is to examine wheth...
Efstathios Stamatatos, Ergina Kavallieratou
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Exploiting unlabeled data in ensemble methods
An adaptive semi-supervised ensemble method, ASSEMBLE, is proposed that constructs classification ensembles based on both labeled and unlabeled data. ASSEMBLE alternates between a...
Kristin P. Bennett, Ayhan Demiriz, Richard Maclin