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NN
2000
Springer
177views Neural Networks» more  NN 2000»
15 years 6 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
16 years 1 days ago
Tackling an Inverse Problem from the Petroleum Industry with a Genetic Algorithm for Sampling
Abstract. When direct measurement of model parameters is not possible, these need to be inferred indirectly from calibration data. To solve this inverse problem, an algorithm that ...
Pedro J. Ballester, Jonathan N. Carter
ICDAR
2003
IEEE
15 years 12 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
AC
2003
Springer
15 years 12 months ago
Timed Automata: Semantics, Algorithms and Tools
This chapter is to provide a tutorial and pointers to results and related work on timed automata with a focus on semantical and algorithmic aspects of verification tools. We prese...
Johan Bengtsson, Wang Yi
IDA
2009
Springer
15 years 11 months ago
Distributed Algorithm for Computing Formal Concepts Using Map-Reduce Framework
Searching for interesting patterns in binary matrices plays an important role in data mining and, in particular, in formal concept analysis and related disciplines. Several algorit...
Petr Krajca, Vilém Vychodil