2512 search results - page 199 / 503 » Learning from Highly Structured Data by Decomposition |
186
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NIPS
2008
15 years 8 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
187
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CORR
2012
Springer
14 years 2 months ago
2012
Springer
The problem of learning the structure of Bayesian networks from complete discrete data with a limit on parent set size is considered. Learning is cast explicitly as an optimisatio...
174
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CVPR
2007
IEEE
16 years 8 months ago
2007
IEEE
We propose a manifold learning approach to fiber tract clustering using a novel similarity measure between fiber tracts constructed from dual-rooted graphs. In particular, to gene...
173
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ML
2008
ACM
15 years 6 months ago
2008
ACM
Although memory-based classifiers offer robust classification performance, their widespread usage on embedded devices is hindered due to the device's limited memory resources...
159
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INFOCOM
2003
IEEE
15 years 11 months ago
2003
IEEE
Abstract— This work presents a thorough investigation of the structure of multicast trees cut from the Internet and power-law topologies. Based on both generated topologies and r...