3265 search results - page 548 / 653 » Representing Groups on Graphs |
154
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NN
1997
Springer
15 years 10 months ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
141
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CIDM
2007
IEEE
15 years 10 months ago
2007
IEEE
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
169
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EUROPAR
2007
Springer
15 years 9 months ago
2007
Springer
To understand the principles of information processing in the brain, we depend on models with more than 105 neurons and 109 connections. These networks can be described as graphs o...
155
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EVOW
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. This paper proposes a novel Ant Colony Optimisation algorithm for the hierarchical problem of predicting protein functions using the Gene Ontology (GO). The GO structure ...
189
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CAISE
2004
Springer
15 years 9 months ago
2004
Springer
Abstract. Goal models have been used in Computer Science in order to represent software requirements, business objectives and design qualities. In previous work we have presented a...