2513 search results - page 144 / 503 » Improving Generalization by Data Categorization |
179
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HIS
2004
15 years 7 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
204
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SDM
2011
SIAM
14 years 9 months ago
2011
SIAM
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
166
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MINENET
2005
ACM
16 years 19 hour ago
2005
ACM
Increasingly powerful fault management systems are required to ensure robustness and quality of service in today’s networks. In this context, event correlation is of prime impor...
151
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CIKM
2009
Springer
15 years 9 months ago
2009
Springer
Dynamic data streams are those whose underlying distribution changes over time. They occur in a number of application domains, and mining them is important for these applications....
153
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CSUR
2000
15 years 6 months ago
2000
to extract information at a level of abstraction that is useful to investigators interested in analyzing application usage or evaluating usability. This survey examines computer-ai...