4773 search results - page 534 / 955 » Learning from Uncertain Data |
208
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WWW
2009
ACM
16 years 7 months ago
2009
ACM
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
186
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STACS
1999
Springer
15 years 11 months ago
1999
Springer
Leo Harrington surprisingly constructed a machine which can learn any computable function f according to the following criterion (called Bc∗ -identification). His machine, on t...
162
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LWA
2007
15 years 8 months ago
2007
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
178
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IDA
2002
Springer
15 years 6 months ago
2002
Springer
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
325
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ICDE
2009
IEEE
16 years 8 months ago
2009
IEEE
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...