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» Digital data networks design using genetic algorithms
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KDD
2004
ACM
166views Data Mining» more  KDD 2004»
14 years 9 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 29 days ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
IWCMC
2010
ACM
14 years 1 months ago
Cooperative contention-based forwarding for wireless sensor networks
Cooperative forwarding has been considered as an effective strategy for improving the geographic routing performance in wireless sensor networks (WSNs). However, we observe that ...
Long Cheng, Jiannong Cao, Canfeng Chen, Hongyang C...
MOBIHOC
2008
ACM
14 years 8 months ago
Improving sensor network immunity under worm attacks: a software diversity approach
Because of cost and resource constraints, sensor nodes do not have a complicated hardware architecture or operating system to protect program safety. Hence, the notorious buffer-o...
Yi Yang, Sencun Zhu, Guohong Cao
TMC
2012
11 years 11 months ago
E-MiLi: Energy-Minimizing Idle Listening in Wireless Networks
WiFi interface is known to be a primary energy consumer in mobile devices, and idle listening (IL) is the dominant source of energy consumption in WiFi. Most existing protocols, s...
Xinyu Zhang, Kang G. Shin