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123
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ICANN
2005
Springer
15 years 8 months ago
2005
Springer
A common assumption in supervised learning is that the training and test input points follow the same probability distribution. However, this assumption is not fulfilled, e.g., in...
137
Voted
CA
2003
IEEE
15 years 8 months ago
2003
IEEE
This paper presents an efficient method of learning motion control for autonomous animated characters. The method uses a non parametric learning approach which identifies non line...
122
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BMCBI
2005
15 years 2 months ago
2005
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
140
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ESANN
2006
15 years 4 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
127
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...