1658 search results - page 46 / 332 » Learning Unknown Graphs |
126
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IJCAI
2007
15 years 3 months ago
2007
This paper proposes and develops a new graph-based semi-supervised learning method. Different from previous graph-based methods that are based on discriminative models, our method...
103
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MLG
2007
Springer
15 years 8 months ago
2007
Springer
d Abstract) Kaspar Riesen, Stefan Fankhauser and Horst Bunke2
121
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MLG
2007
Springer
15 years 8 months ago
2007
Springer
Recent investigations [12, 2, 8, 5, 6] and [11, 9] indicate the use of a probabilistic (’learning’) perspective of tasks defined on a single graph, as opposed to the traditio...
101
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
In many graph-based semi-supervised learning algorithms, edge weights are assumed to be fixed and determined by the data points' (often symmetric) relationships in input space...
101
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Given a large, real graph, how can we generate a synthetic graph that matches its properties, i.e., it has similar degree distribution, similar (small) diameter, similar spectrum,...