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Spectral Learning of General Weighted Automata via Constrained Matrix Completion
Published on Jan 16, 20133520 Views
Many tasks in text and speech processing and computational biology involve functions from variable-length strings to real numbers. A wide class of such functions can be computed by weighted automat
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Chapter list
Spectral Learning of General Weighted Automata via Constrained Matrix Completion00:00
The Problem { Regression over Strings00:16
Hypothesis Class: Weighted Finite Automata (WFA)02:05
Overview04:21
Spectral Learning in a Nutshell05:08
Spectral Learning by...06:39
The Hankel Matrix07:10
Spectral Learning for WFA09:01
Missing Entries10:24
Constrained Matrix Completion11:35
A Family of Algorithms13:34
Generalization Bound14:22
Want to Know More?15:59
Thank you!16:02