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IDA
2002
Springer
13 years 8 months ago
Evolutionary model selection in unsupervised learning
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...
YongSeog Kim, W. Nick Street, Filippo Menczer
INFOCOM
2010
IEEE
13 years 7 months ago
Deploying Mesh Nodes under Non-Uniform Propagation
Abstract—Wireless mesh networks are popular as a costeffective means to provide broadband connectivity to large user populations. A mesh network placement provides coverage, such...
Joshua Robinson, Mohit Singh, Ram Swaminathan, Edw...
ADHOCNOW
2009
Springer
13 years 6 months ago
A Decentralized Approach to Minimum-Energy Broadcasting in Static Ad Hoc Networks
Broadcasting is a commonly used feature in wireless networking, e.g. for file distribution, re-tasking, event notification, or miscellaneous maintenance. Due to the limited resourc...
Christopher Miller, Christian Poellabauer
EC
2011
240views ECommerce» more  EC 2011»
13 years 3 months ago
HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization
Abstract—In the field of evolutionary multi-criterion optimization, the hypervolume indicator is the only single set quality measure that is known to be strictly monotonic with ...
Johannes Bader, Eckart Zitzler
JMLR
2010
118views more  JMLR 2010»
13 years 3 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot