5860 search results - page 859 / 1172 » Learning and Domain Adaptation |
196
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KDD
2009
ACM
16 years 7 months ago
2009
ACM
Learning probabilistic graphical models from high-dimensional datasets is a computationally challenging task. In many interesting applications, the domain dimensionality is such a...
205
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Accurate localization of mobile objects is a major research problem in sensor networks and an important data mining application. Specifically, the localization problem is to deter...
164
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ICDM
2009
IEEE
16 years 1 months ago
2009
IEEE
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
171
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ECML
2005
Springer
16 years 8 days ago
2005
Springer
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
189
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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...