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KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 3 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
KDD
2009
ACM
205views Data Mining» more  KDD 2009»
15 years 9 months ago
From active towards InterActive learning: using consideration information to improve labeling correctness
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
Abraham Bernstein, Jiwen Li
IJCNN
2008
IEEE
15 years 9 months ago
A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
Eric Granger, Jean-François Connolly, Rober...
ISF
2008
210views more  ISF 2008»
15 years 3 months ago
Affective e-Learning in residential and pervasive computing environments
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...
Liping Shen, Victor Callaghan, Ruimin Shen
IEEECIT
2006
IEEE
15 years 9 months ago
Generic Modeling and Annotation of the Dance Video Semantics
Dance is the real cultural wealth of any nation and dance media is the source for learning the dance steps by the present and future generation of students. Dance videos exhibit r...
Balakrishnan Ramadoss, Kannan Rajkumar