A machine learning approach to improve congestion control over wireless computer networks
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[1] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[2] Soung Chang Liew,et al. TCP Veno: TCP enhancement for transmission over wireless access networks , 2003, IEEE J. Sel. Areas Commun..
[3] Matthew Mathis,et al. The macroscopic behavior of the TCP congestion avoidance algorithm , 1997, CCRV.
[4] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[5] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[6] Mark Handley,et al. Equation-based congestion control for unicast applications , 2000, SIGCOMM.
[7] Mark Handley,et al. Equation-based congestion control for unicast applications , 2000, SIGCOMM 2000.
[8] J. J. Garcia-Luna-Aceves,et al. Improving TCP performance over wireless networks at the link layer , 2000, Mob. Networks Appl..
[9] B. R. Badrinath,et al. I-TCP: indirect TCP for mobile hosts , 1995, Proceedings of 15th International Conference on Distributed Computing Systems.
[10] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[11] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[12] Pierre Geurts,et al. Extremely randomized trees , 2006, Machine Learning.
[13] Ren Wang,et al. Efficiency/friendliness tradeoffs in TCP Westwood , 2002, Proceedings ISCC 2002 Seventh International Symposium on Computers and Communications.
[14] Petri Mähönen,et al. TCP performance issues over wireless links , 2001, IEEE Commun. Mag..