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ML
2002
ACM
178views Machine Learning» more  ML 2002»
15 years 6 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
EVOW
2010
Springer
16 years 27 days ago
Adaptive Noisy Optimization
In this paper, adaptive noisy optimization on variants of the noisy sphere model is considered, i.e. optimization in which the same algorithm is able to adapt to several frameworks...
Philippe Rolet, Olivier Teytaud
CSSE
2008
IEEE
16 years 26 days ago
Application of New Adaptive Higher Order Neural Networks in Data Mining
This paper introduces an adaptive Higher Order Neural Network (HONN) model and applies it in data mining such as simulating and forecasting government taxation revenues. The propo...
Shuxiang Xu, Ling Chen
EWC
2006
112views more  EWC 2006»
15 years 6 months ago
Parallel anisotropic 3D mesh adaptation by mesh modification
Improvements to a local modification-based anisotropic mesh adaptation procedure are presented. The first improvement focuses on control of the local operations that modify the mes...
Frédéric Alauzet, Xiangrong Li, E. S...
ICIP
2009
IEEE
15 years 4 months ago
Adaptive mathematical morphology: A unified representation theory
In this paper, we present a general theory of adaptive mathematical morphology (AMM) in the Euclidean space. The proposed theory preserves the notion of a structuring element, whi...
Nidhal Bouaynaya, Dan Schonfeld