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» Training a Selection Function for Extraction
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IJCNN
2000
IEEE
14 years 2 days ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
IJON
2007
131views more  IJON 2007»
13 years 7 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...
ECCV
2008
Springer
14 years 9 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
SIGUCCS
2000
ACM
14 years 1 days ago
Designing the "IT Degree" for Student Employees
Academic Technology Services at the University of Rochester is in the process of revamping its student staff training program. This is in an effort to provide top-notch customer s...
Lisa Tanger-Brown, Janak Gada
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
14 years 2 months ago
Evolution of functional specialization in a morphologically homogeneous robot
A central tenet of embodied artificial intelligence is that intelligent behavior arises out of the coupled dynamics between an agent’s body, brain and environment. It follows t...
Joshua S. Auerbach, Josh C. Bongard