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ML
2002
ACM
178views Machine Learning» more  ML 2002»
13 years 10 months ago
Metric-Based Methods for Adaptive Model Selection and Regularization
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
Dale Schuurmans, Finnegan Southey
COMPSAC
2007
IEEE
14 years 5 months ago
The Four Major Challenges of Engineering Adaptive Software Architectures
Building an adaptive software system that can cope with changing requirements and changing environments presents four major challenges. These are (1) to receive, represent and rea...
Jun Han, Alan W. Colman
ICC
2007
IEEE
107views Communications» more  ICC 2007»
14 years 5 months ago
Time-Hopping UWB Multiuser Detection Using Adaptive Multistage Matrix Wiener Filtering Schemes
— Adaptive reduced-rank (RR) multistage matrix Wiener filtering (MMWF) techniques, based on the minimum mean-square error (MMSE) criterion, are proposed for timehopping (TH) pul...
Chia-Chang Hu, Hsuan-Yu Lin, Tsung-Hsien Liu, Yong...
GRAPHICSINTERFACE
2000
13 years 12 months ago
Adaptive Representation of Specular Light Flux
Caustics produce beautiful and intriguing illumination patterns. However, their complex behavior make them difficult to simulate accurately in all but the simplest configurations....
Normand Brière, Pierre Poulin
ISADS
2003
IEEE
14 years 3 months ago
Structuring Integrated Web Applications for Fault Tolerance
This paper shows how modern structuring techniques can be employed in integrating complex web applications such as Travel Agency systems. The main challenges the developers of suc...
Alexander B. Romanovsky, Panos Periorellis, Avelin...