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NPL
1998
175views more  NPL 1998»
13 years 7 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
SIAMCOMP
1998
124views more  SIAMCOMP 1998»
13 years 7 months ago
Near-Linear Time Construction of Sparse Neighborhood Covers
This paper introduces a near-linear time sequential algorithm for constructing a sparse neighborhood cover. This implies analogous improvements (from quadratic to near-linear time)...
Baruch Awerbuch, Bonnie Berger, Lenore Cowen, Davi...
JEI
2010
83views more  JEI 2010»
13 years 6 months ago
New image-quality measure based on wavelets
Abstract. We present an innovative approach to the objective quality evaluation that could be computed using the mean difference between the original and tested images in different...
Emil Dumic, Sonja Grgic, Mislav Grgic
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
13 years 9 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
COLT
2005
Springer
14 years 1 months ago
Leaving the Span
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
Manfred K. Warmuth, S. V. N. Vishwanathan