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TSP
2008
115views more  TSP 2008»
15 years 6 months ago
A Bayesian Approach to Adaptive Detection in Nonhomogeneous Environments
Abstract--We consider the adaptive detection of a signal of interest embedded in colored noise, when the environment is nonhomogeneous, i.e., when the training samples used for ada...
Stéphanie Bidon, Olivier Besson, Jean-Yves ...
HOTNETS
2010
15 years 1 months ago
Automatic rate adaptation
Rate adaptation is a fundamental primitive in wireless networks. Since wireless channel strength varies quickly and unpredictably, senders have to constantly measure the channel a...
Aditya Gudipati, Sachin Katti
MODELS
2009
Springer
16 years 1 months ago
Limitations of Automating Model Migration in Response to Metamodel Adaptation
In consequence of changing requirements and technological progress, modeling languages are subject to change. When their metamodels are adapted to reflect those changes, existing ...
Markus Herrmannsdoerfer, Daniel Ratiu
208
Voted
SIBGRAPI
2005
IEEE
16 years 12 days ago
Component-Based Adaptive Sampling
High-fidelity renderings of virtual environments is a notoriously computationally expensive task. One commonly used method to alleviate the costs is to adaptively sample the rend...
Kurt Debattista, Alan Chalmers
PAKDD
2004
ACM
137views Data Mining» more  PAKDD 2004»
16 years 5 days ago
Fast and Light Boosting for Adaptive Mining of Data Streams
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
Fang Chu, Carlo Zaniolo