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GECCO
2005
Springer
160views Optimization» more  GECCO 2005»
15 years 8 months ago
Designing resilient networks using a hybrid genetic algorithm approach
As high-speed networks have proliferated across the globe, their topologies have become sparser due to the increased capacity of communication media and cost considerations. Relia...
Abdullah Konak, Alice E. Smith
134
Voted
BMCBI
2010
154views more  BMCBI 2010»
15 years 3 months ago
Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data
Background: A major goal of molecular biology is determining the mechanisms that control the transcription of genes. Motif Enrichment Analysis (MEA) seeks to determine which DNA-b...
Robert C. McLeay, Timothy L. Bailey
ML
1998
ACM
153views Machine Learning» more  ML 1998»
15 years 2 months ago
Bayesian Landmark Learning for Mobile Robot Localization
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...
Sebastian Thrun
INFOCOM
2010
IEEE
15 years 1 months ago
Beyond Triangle Inequality: Sifting Noisy and Outlier Distance Measurements for Localization
—Knowing accurate positions of nodes in wireless ad-hoc and sensor networks is essential for a wide range of pervasive and mobile applications. However, errors are inevitable in ...
Lirong Jian, Zheng Yang, Yunhao Liu
GLOBECOM
2008
IEEE
15 years 4 months ago
Hierarchical Scanning Algorithm for Integrated Mobile and Nomadic Access Systems
—In next generation wireless networks, not only wide area cells to provide moderate data rate with full mobility but also local area cells to support high data rate with local mo...
Jung-Min Moon, Dong-Ho Cho