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ICASSP
2011
IEEE
13 years 10 days ago
Revisiting adaptive least-squares estimation and application to online sparse signal recovery
This paper presents a novel time-adaptive estimation technique by revisiting the classical Wiener-Hopf equation. Any convex and not necessarily differentiable function can be used...
Konstantinos Slavakis, Yannis Kopsinis, Sergios Th...
CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 8 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 2 months ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...
MOBIQUITOUS
2008
IEEE
14 years 3 months ago
A multi-dimensional model enabling autonomic reasoning for context-aware pervasive applications
A fundamental requirement for autonomic computing is to be able to automatically infer how human users react in similar contextual conditions. This paper examines the problem of a...
Nearchos Paspallis, Konstantinos Kakousis, George ...
EDO
2006
Springer
14 years 9 days ago
An extensible, lightweight architecture for adaptive J2EE applications
Server applications with adaptive behaviors can adapt their functionality in response to environmental changes, and significantly reduce the on-going costs of system deployment an...
Ian Gorton, Yan Liu, Nihar Trivedi