Lecture

Oja's Rule

Description

This lecture introduces Oja's rule in the context of Neurorobotics, explaining the mathematical formulation and its application in learning eigenvectors and eigenvalues. The rule is illustrated through equations and examples, highlighting its significance in capturing the direction of maximal variance in linear transformations.

In MOOCs (3)

Official source

https://mediaspace.epfl.ch/media/0_ogs9eqh7

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Ontological neighbourhood

Mathematics

Algebra: Linear algebra

Statistics

Statistical inference: Mathematical statistics

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