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» Learning Algorithms for Domain Adaptation
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ICPR
2008
IEEE
16 years 4 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 9 months ago
A Delay-Bounded Dynamic Interactive Power Control Algorithm for VANETs
— To enable real-time and robust message delivery, the highly mobile Vehicular Ad Hoc Networks (VANETs) call for comprehensive investigation on the dynamic power control effects ...
Chunxiao Chigan, Jialiang Li
ICML
2008
IEEE
16 years 3 months ago
Optimized cutting plane algorithm for support vector machines
We have developed a new Linear Support Vector Machine (SVM) training algorithm called OCAS. Its computational effort scales linearly with the sample size. In an extensive empirica...
Sören Sonnenburg, Vojtech Franc
JNCA
2007
154views more  JNCA 2007»
15 years 2 months ago
Knowledge-based multimedia adaptation for ubiquitous multimedia consumption
Intelligent, server-side adaptation of multimedia resources is becoming increasingly important and challenging for two reasons. First, the market continuously brings up new mobile...
Dietmar Jannach, Klaus Leopold
IWCLS
2007
Springer
15 years 9 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull