1553 search results - page 32 / 311 » Learning from Multiple Sources of Inaccurate Data |
162
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ECML
2006
Springer
15 years 9 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
148
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DEXA
2004
Springer
15 years 11 months ago
2004
Springer
Data integration is a significant challenge: relevant data objects are split across multiple information sources, and often owned by different organizations. The sources represent...
152
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PADL
2012
Springer
14 years 1 months ago
2012
Springer
An ad hoc data source is any semi-structured, non-standard data source. The format of such data sources is often evolving and frequently lacking documentation. Consequently, off-t...
176
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NIPS
2004
15 years 7 months ago
2004
Multiple realizations of continuous-valued time series from a stochastic process often contain systematic variations in rate and amplitude. To leverage the information contained i...
182
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AAAI
2008
15 years 8 months ago
2008
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...