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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
WEA
2010
Springer
284views Algorithms» more  WEA 2010»
14 years 4 months ago
Paging Multiple Users in Cellular Network: Yellow Page and Conference Call Problems
Abstract. Mobile users are roaming in a zone of cells in a cellular network system. The probabilities of each user residing in each cell are known, and all probabilities are indepe...
Amotz Bar-Noy, Panagiotis Cheilaris, Yi Feng 0002
MOBIDE
2005
ACM
14 years 2 months ago
Video-streaming for fast moving users in 3G mobile networks
The emergence of third-generation (3G) mobile networks offers new opportunities for the effective delivery of data with rich content including multimedia messaging and video-strea...
Anna Kyriakidou, Nikos Karelos, Alex Delis
JAIR
2002
163views more  JAIR 2002»
13 years 9 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
SIGCOMM
2010
ACM
13 years 9 months ago
R3: resilient routing reconfiguration
Network resiliency is crucial to IP network operations. Existing techniques to recover from one or a series of failures do not offer performance predictability and may cause serio...
Ye Wang, Hao Wang, Ajay Mahimkar, Richard Alimi, Y...