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ADCM
2008
136views more  ADCM 2008»
15 years 6 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
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AI
2008
Springer
15 years 6 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...
AIEDU
2007
85views more  AIEDU 2007»
15 years 6 months ago
Opening up the Interpretation Process in an Open Learner Model
Opening a model of the learner is a potentially complex operation. There are many aspects of the learner that can be modelled, and many of these aspects may need to be opened in di...
Nicolas van Labeke, Paul Brna, Rafael Morales
BIB
2008
86views more  BIB 2008»
15 years 6 months ago
Recent developments in the MAFFT multiple sequence alignment program
The accuracy and scalability of multiple sequence alignment (MSA) of DNAs and proteins have long been and are still important issues in bioinformatics. To rapidly construct a reas...
Kazutaka Katoh, Hiroyuki Toh
BIOSYSTEMS
2008
83views more  BIOSYSTEMS 2008»
15 years 6 months ago
Hydrophobic condensation and modular assembly model of protein folding
Despite several decades of intense study, protein folding problem remains elusive. In this paper, we review current knowledge and the prevailing thinking in the field, and summari...
Tian-Yow Tsong, Chin-Kun Hu, Ming-Chya Wu
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