4773 search results - page 585 / 955 » Learning from Uncertain Data |
206
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KDD
2004
ACM
16 years 7 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
190
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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...
148
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ICML
2005
IEEE
16 years 7 months ago
2005
IEEE
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
204
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ICML
1998
IEEE
16 years 7 months ago
1998
IEEE
Stochastic topological models, and hidden Markov models in particular, are a useful tool for robotic navigation and planning. In previous work we have shown how weak odometric dat...
142
Voted
KDD
2005
ACM
16 years 7 months ago
2005
ACM
In several organizations, it has become increasingly popular to document and log the steps that makeup a typical business process. In some situations, a normative workflow model o...