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NIPS
2007
14 years 11 months ago
An online Hebbian learning rule that performs Independent Component Analysis
Independent component analysis (ICA) is a powerful method to decouple signals. Most of the algorithms performing ICA do not consider the temporal correlations of the signal, but o...
Claudia Clopath, André Longtin, Wulfram Ger...
DAGSTUHL
2006
14 years 11 months ago
Application of Kolmogorov complexity and universal codes to identity testing and nonparametric testing of serial independence fo
We show that Kolmogorov complexity and such its estimators as universal codes (or data compression methods) can be applied for hypothesis testing in a framework of classical mathe...
Boris Ryabko, Jaakko Astola, Alexander Gammerman
SODA
2004
ACM
111views Algorithms» more  SODA 2004»
14 years 11 months ago
Fast mixing for independent sets, colorings and other models on trees
We study the mixing time of the Glauber dynamics for general spin systems on bounded-degree trees, including the Ising model, the hard-core model (independent sets) and the antife...
Fabio Martinelli, Alistair Sinclair, Dror Weitz
ALGORITHMICA
2010
95views more  ALGORITHMICA 2010»
14 years 10 months ago
Homogeneous String Segmentation using Trees and Weighted Independent Sets
We divide a string into k segments, each with only one sort of symbols, so as to minimize the total number of exceptions. Motivations come from machine learning and data mining. F...
Peter Damaschke
TSP
2010
14 years 4 months ago
Independent component analysis by entropy bound minimization
A novel (differential) entropy estimator is introduced where the maximum entropy bound is used to approximate the entropy given the observations, and is computed using a numerical ...
Xi-Lin Li, Tülay Adali