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ICANN
2005
Springer
15 years 9 months ago
Smooth Bayesian Kernel Machines
Abstract. In this paper, we consider the possibility of obtaining a kernel machine that is sparse in feature space and smooth in output space. Smooth in output space implies that t...
Rutger W. ter Borg, Léon J. M. Rothkrantz
WAW
2004
Springer
178views Algorithms» more  WAW 2004»
15 years 9 months ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
ICANN
2011
Springer
14 years 7 months ago
Hybrid Parallel Classifiers for Semantic Subspace Learning
Subspace learning is very important in today's world of information overload. Distinguishing between categories within a subset of a large data repository such as the web and ...
Nandita Tripathi, Michael P. Oakes, Stefan Wermter
JGO
2011
89views more  JGO 2011»
14 years 7 months ago
Model building using bi-level optimization
Abstract In many problems from different disciplines such as engineering, physics, medicine, and biology, a series of experimental data is used in order to generate a model that ca...
Georges K. Saharidis, Ioannis P. Androulakis, Mari...
CORR
2012
Springer
281views Education» more  CORR 2012»
13 years 11 months ago
Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization
Compiling Bayesian networks (BNs) to junction trees and performing belief propagation over them is among the most prominent approaches to computing posteriors in BNs. However, bel...
Lu Zheng, Ole J. Mengshoel, Jike Chong