Dec 6, 2011 · This paper derives an identity connecting the square loss of ridge regression in on-line mode with the loss of the retrospectively best regressor.

Feb 18, 2013 · This paper derives an identity connecting the square loss of ridge regression in on-line mode with the loss of the retrospectively best ...

This paper provides a probabilistic derivation of an identity connecting the square loss of ridge regression in on-line mode with the loss of a ...

Ridge regression is a powerful technique of machine learning. It was introduced in [2]; the kernel version of it is derived in [3]. Ridge regression can be ...

Ridge regression is a powerful technique of machine learning. It was introduced in [9]; the kernel version of it is derived in [15]. Ridge regression can be ...

This paper derives an identity connecting the square loss of ridge regression in on-line mode with the loss of the retrospectively best regressor.

This paper derives an identity connecting the square loss of ridge regression in on-line mode with the loss of the retrospectively best regressor.

This paper provides a probabilistic derivation of an identity connecting the square loss of ridge regression in on-line mode with the loss of a ...

Hilbert space (RKHS) F, which is a Hilbert space consisting of functions on X contains functions K(x,·) for all x ∈ X.

An identity for kernel ridge regression · Fedor Zhdanov, Yuri Kalnishkan · Published in Theoretical Computer Science 6 October 2010 · Mathematics, Computer Science.