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NIPS
2007
14 years 11 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
SAC
2008
ACM
14 years 9 months ago
Improving denial of service resistance using dynamic local adaptations
We improve the resistance of gossip-based multicast to (Distributed) Denial of Service (DoS) attacks using dynamic local adaptations at each node. Each node estimates the current ...
Gal Badishi, Idit Keidar
TSP
2008
115views more  TSP 2008»
14 years 9 months ago
Robustness of Adaptive Narrowband Beamforming With Respect to Bandwidth
Abstract--This paper addresses the robustness of adaptive narrowband beamforming with respect to bandwidth based on the loss of performance in terms of signal-to-interference-plus-...
Marc Oudin, Jean Pierre Delmas
IWSOS
2007
Springer
15 years 3 months ago
A New Approach to Adaptive Multi-routing Protocol for Mobile Ad Hoc Network
A routing protocol is designed considering a particular environment all the time which is not possible in the case of practical ad hoc networks. Because of the uncertainty in topol...
Ung Heo, Deepak G. C., Jaeho Choi
PKDD
2005
Springer
96views Data Mining» more  PKDD 2005»
15 years 3 months ago
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation
We describe a methodology to assist scientists in quantifying the degree of evidence in favor of a new proposed theory compared to a standard baseline theory. The figure of merit ...
Bruce Knuteson, Ricardo Vilalta