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ML
2002
ACM
178views Machine Learning» more  ML 2002»
14 years 9 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
CORR
2008
Springer
128views Education» more  CORR 2008»
14 years 9 months ago
Electricity Demand and Energy Consumption Management System
This project describes the electricity demand and energy consumption management system and its application to Southern Peru smelter. It is composted of an hourly demand-forecastin...
Juan Ojeda Sarmiento
JIRS
2011
124views more  JIRS 2011»
14 years 28 days ago
EKF-Based Localization of a Wheeled Mobile Robot in Structured Environments
Abstract This paper deals with the problem of mobile-robot localization in structured environments. The extended Kalman filter (EKF) is used to localize the fourwheeled mobile robo...
Luka Teslic, Igor Skrjanc, Gregor Klancar
IMAMS
2003
93views Mathematics» more  IMAMS 2003»
14 years 11 months ago
Vector Transport for Shape-from-Shading
In this paper we describe a new shape-from-shading method. We show how the parallel transport of surface normals can be used to impose curvature consistency and also to iterativel...
Fabio Sartori, Edwin R. Hancock
BMCBI
2008
139views more  BMCBI 2008»
14 years 10 months ago
The C1C2: A framework for simultaneous model selection and assessment
Background: There has been recent concern regarding the inability of predictive modeling approaches to generalize to new data. Some of the problems can be attributed to improper m...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg