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PRL
2010
149views more  PRL 2010»
13 years 3 months ago
Adaptive linear models for regression: Improving prediction when population has changed
The general setting of regression analysis is to identify a relationship between a response variable Y and one or several explanatory variables X by using a learning sample. In a ...
Charles Bouveyron, Julien Jacques
ICRA
2009
IEEE
191views Robotics» more  ICRA 2009»
14 years 2 months ago
Distributed coverage control for mobile sensors with location-dependent sensing models
— This paper addresses the problem of coverage control of a network of mobile sensors. In the current literature, this is commonly formulated as a locational optimization problem...
Ajay Deshpande, Sameera Poduri, Daniela Rus, Gaura...
ICAC
2009
IEEE
14 years 2 months ago
Applying adaptation design patterns
Dynamic adaptation may be used to prevent software downtime while new requirements and responses to environmental conditions are incorporated into the system. Previously, we studi...
Andres J. Ramirez, Betty H. C. Cheng
IJON
2007
131views more  IJON 2007»
13 years 8 months ago
Margin-based active learning for LVQ networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples and thereby increase speed a...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
COMPIMAGE
2010
Springer
14 years 3 months ago
Curvature Estimation for Discrete Curves Based on Auto-adaptive Masks of Convolution
We propose a method that we call auto-adaptive convolution which extends the classical notion of convolution in pictures analysis to function analysis on a discrete set. We define...
Christophe Fiorio, Christian Mercat, Fréd&e...