Jun 27, 2012 · This paper re-visits the spectral method for learning latent variable models defined in terms of observable operators.

This paper re-visits the spectral method for learning latent variable models defined in terms of observable operators. We give a new perspective on the ...

Я When does this minimization yield a consistent algorithm? Page 4. Outline. Spectral Learning as Local Loss Optimization ... A New Insight into Spectral Learning.

This paper re-visits the spectral method for learning latent variable models defined in terms of observable operators. We give a new perspective on the ...

Abstract: This paper re-visits the spectral method for learning latent variable models defined in terms of observable operators. We give a new perspective ...

Local loss optimization in operator models: a new insight into spectral learning. Autor/s: B. Balle; Quattoni, A.J.; Carreras, X.

2011. Local loss optimization in operator models: A new insight into spectral learning. B Balle, A Quattoni, X Carreras. arXiv preprint arXiv:1206.6393, 2012.

... Local Loss Optimization in Operator Models: A New Insight into Spectral Learning ... An Automata Theory Perspective on Spectral Learning: Hankel Matrix ...

Spectral methods for learning latent variable models reduce the learning problem to the problem of performing some low-rank factorization over matrices ...