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PRL
2008
91views more  PRL 2008»
15 years 7 months ago
Fuzzy relevance vector machine for learning from unbalanced data and noise
Handing unbalanced data and noise are two important issues in the field of machine learning. This paper proposed a complete framework of fuzzy relevance vector machine by weightin...
Dingfang Li, Wenchao Hu, Wei Xiong, Jin-Bo Yang
PRL
2006
129views more  PRL 2006»
15 years 7 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders
203
Voted
ETAI
2000
84views more  ETAI 2000»
15 years 7 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
ETS
2000
IEEE
85views Hardware» more  ETS 2000»
15 years 7 months ago
A Framework for Enabling an Internet Learning Community
We view the Internet as a "virtual laboratory" and have developed a framework to support experiments in web-based community learning. Our system is called the Community ...
Elizabeth Sklar, Jordan B. Pollack
IJON
1998
87views more  IJON 1998»
15 years 7 months ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari