Statistical mechanics of learning multiple orthogonal signals: asymptotic theory and fluctuation effects.
By D. Hoyle, Magnus Rattray. 2007
31 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Condensed Matter Physics, Statistics and Probability, Statistical Learning Theory
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Condensed Matter Physics
In Statistics and Probability
- Raj Rao Nadakuditi
- Florent Benaych-Georges
- Antti Knowles
- Charles Bordenave
- Jun Yin
- F. Augeri
- Xiucai Ding
- M. Capitaine
In Statistical Learning Theory
- Florent Benaych-Georges
- Raj Rao Nadakuditi
- Charles Bordenave
- M. Capitaine
- Xiucai Ding
- Antti Knowles
- Jun Yin
- F. Augeri
Citations in the corpus
- The singular values and vectors of low rank perturbations of large rectangular random matrices (2011, background): “…distributions for the noise model X ) and recover as a special case results found in the literature for the eigenvalues [8, 9] and eigenvectors [34, 46, 44] of X X ∗ in the setting where X in (1) is Gaussian. e e Such results had already been proved in the particular case where X is a Gaussian…”
- The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices (2009, background): “Additive perturbation of a Gaussian Wigner matrix.”