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» Approximation Methods for Supervised Learning
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ESANN
2006
13 years 11 months ago
Generalization properties of spiking neurons trained with ReSuMe method
In this paper we demonstrate the generalization property of spiking neurons trained with ReSuMe method. We show in a set of experiments that the learning neuron can approximate the...
Filip Ponulak, Andrzej J. Kasinski
ATAL
2003
Springer
14 years 3 months ago
Natural methods for robot task learning: instructive demonstrations, generalization and practice
Among humans, teaching various tasks is a complex process which relies on multiple means for interaction and learning, both on the part of the teacher and of the learner. Used tog...
Monica N. Nicolescu, Maja J. Mataric
TIP
2008
133views more  TIP 2008»
13 years 10 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
CVPR
2012
IEEE
12 years 3 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
CICLING
2010
Springer
14 years 1 months ago
Adaptive Term Weighting through Stochastic Optimization
Term weighting strongly influences the performance of text mining and information retrieval approaches. Usually term weights are determined through statistical estimates based on s...
Michael Granitzer