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» Approximating Component Selection
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94
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COR
2010
121views more  COR 2010»
15 years 20 days ago
A multi-objective approach for robust airline scheduling
We present a memetic approach for multi-objective improvement of robustness influencing features (called robustness objectives) in airline schedules. Improvement of the objectives...
Edmund K. Burke, Patrick De Causmaecker, Geert De ...
88
Voted
CORR
2008
Springer
91views Education» more  CORR 2008»
15 years 19 days ago
A Logical Model and Data Placement Strategies for MEMS Storage Devices
MEMS storage devices are new non-volatile secondary storages that have outstanding advantages over magnetic disks. MEMS storage devices, however, are much different from magnetic ...
Yi-Reun Kim, Kyu-Young Whang, Min-Soo Kim 0002, Il...
109
Voted
CSL
2010
Springer
15 years 19 days ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
107
Voted
COMCOM
2006
147views more  COMCOM 2006»
15 years 18 days ago
Coverage-adaptive random sensor scheduling for application-aware data gathering in wireless sensor networks
Due to the application-specific nature of wireless sensor networks, application-aware algorithm and protocol design paradigms are highly required in order to optimize the overall ...
Wook Choi, Sajal K. Das
99
Voted
NETWORK
2007
93views more  NETWORK 2007»
15 years 1 days ago
Modeling VoIP Call Holding Times for Telecommunications
Voice over IP is one of the most popular applications in broadband access networks. It is anticipated that the characteristics of call holding times (CHTs) for VoIP calls will be ...
Whai-En Chen, Hui-Nien Hung, Yi-Bing Lin