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ICML
2009
IEEE
13 years 12 months ago
Online learning by ellipsoid method
In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classi...
Liu Yang, Rong Jin, Jieping Ye
IJIT
2004
13 years 6 months ago
A Fuzzy Classifier with Evolutionary Design of Ellipsoidal Decision Regions
A fuzzy classifier using multiple ellipsoids approximating decision regions for classification is to be designed in this paper. An algorithm called Gustafson-Kessel algorithm (GKA)...
Leehter Yao, Kuei-Song Weng, Cherng-Dir Huang
IJIT
2004
13 years 6 months ago
Learning of Class Membership Values by Ellipsoidal Decision Regions
A novel method of learning complex fuzzy decision regions in the n-dimensional feature space is proposed. Through the fuzzy decision regions, a given pattern's class membershi...
Leehter Yao, Chin-chin Lin
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
13 years 8 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
ECML
2006
Springer
13 years 8 months ago
The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces
Minimum volume covering ellipsoid estimation is important in areas such as systems identification, control, video tracking, sensor management, and novelty detection. It is well kno...
Alexander N. Dolia, Tijl De Bie, Christopher J. Ha...