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ICALT
2005
IEEE
15 years 8 months ago
Managing the Semantic Aspects of Learning Using the Knowledge Life Cycle
In this paper we examine the semantic aspects of learning from both pedegogical and technological points of view. We suggest that if semantics are to fullfil their potential in th...
Feng Tao, David E. Millard, Arouna Woukeu, Hugh C....
TRS
2008
15 years 2 months ago
A Model of User-Oriented Reduct Construction for Machine Learning
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han
CIBCB
2006
IEEE
15 years 8 months ago
Visualization of Support Vector Machines with Unsupervised Learning
– The visualization of support vector machines in realistic settings is a difficult problem due to the high dimensionality of the typical datasets involved. However, such visuali...
Lutz Hamel
AAI
2008
93views more  AAI 2008»
15 years 2 months ago
Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
131
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ICANN
2001
Springer
15 years 6 months ago
Incremental Support Vector Machine Learning: A Local Approach
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
Liva Ralaivola, Florence d'Alché-Buc