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» A Framework for Grid-based Neural Networks
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IJCNN
2006
IEEE
15 years 11 months ago
Alleviating Catastrophic Forgetting via Multi-Objective Learning
— Handling catastrophic forgetting is an interesting and challenging topic in modeling the memory mechanisms of the human brain using machine learning models. From a more general...
Yaochu Jin, Bernhard Sendhoff
ICANN
2005
Springer
15 years 11 months ago
On Variations of Power Iteration
The power iteration is a classical method for computing the eigenvector associated with the largest eigenvalue of a matrix. The subspace iteration is an extension of the power iter...
Seungjin Choi
IEAAIE
2005
Springer
15 years 11 months ago
Inferring Definite-Clause Grammars to Express Multivariate Time Series
In application domains such as medicine, where a large amount of data is gathered, a medical diagnosis and a better understanding of the underlying generating process is an aim. Re...
Gabriela Guimarães, Luís Moniz Perei...
ICANN
2003
Springer
15 years 10 months ago
An Adaptable Gaussian Neuro-Fuzzy Classifier
The concept of semantic and context aware intelligent systems provides a vision for the Information Society where the emphasis lays on computing applications that can sense context...
Minas Pertselakis, Dimitrios S. Frossyniotis, Andr...
AE
2001
Springer
15 years 10 months ago
Evolving Objects: A General Purpose Evolutionary Computation Library
This paper presents the evolving objects library (EOlib), an object-oriented framework for evolutionary computation (EC) that aims to provide a flexible set of classes to build EC...
Maarten Keijzer, Juan J. Merelo Guervós, Gu...