2436 search results - page 150 / 488 » Evaluating Adaptive Problem Selection |
191
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FBIT
2007
IEEE
15 years 9 months ago
2007
IEEE
In Wireless Sensor Networks (WSNs), address-based routing approaches often lead to severe problems due to node mobility, energy-saving sleep-cycles, and often missing or unreliabl...
131
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IWANN
1999
Springer
15 years 7 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
127
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BMCBI
2010
15 years 3 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
141
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
161
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KDD
2012
ACM
13 years 6 months ago
2012
ACM
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...