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» Statistical Methods for Construction of Neural Networks
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IJCNN
2008
IEEE
14 years 3 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
IJCNN
2006
IEEE
14 years 2 months ago
How Not to Evaluate a Developmental System
—Computational models of development aim to describe the mechanisms that underlie the acquisition of new skills or the emergence of new capabilities. The strength of a model is j...
Frederick Shic, Brian Scassellati
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
14 years 2 months ago
Hand Force Estimation using Electromyography Signals
— In many studies and applications that include direct human involvement such as human-robot interaction, control of prosthetic arms, and human factor studies, hand force is need...
Farid Mobasser, Keyvan Hashtrudi-Zaad
JMLR
2010
107views more  JMLR 2010»
13 years 3 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
JMLR
2010
162views more  JMLR 2010»
13 years 3 months ago
A Surrogate Modeling and Adaptive Sampling Toolbox for Computer Based Design
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
Dirk Gorissen, Ivo Couckuyt, Piet Demeester, Tom D...