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Asymptotic Theory for Linear-Chain Conditional Random Fields
Published on May 06, 20114271 Views
In this theoretical paper we develop an asymptotic theory for Linear-Chain Conditional Random Fields (L-CRFs) and apply it to derive conditions under which the Maximum Likelihood Estimates (MLEs)
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Chapter list
Asymptotic Theory for Linear-Chain Conditional Random Fields00:00
Motivation (1)00:21
Motivation (2)01:49
Motivation (3)02:46
Motivation (4)03:47
Motivation (5)04:39
Motivation (6)05:13
Motivation (7)06:03
L-CRFs for Infinite Sequences (1)07:02
L-CRFs for Infinite Sequences (2)07:03
L-CRFs for Infinite Sequences (3)08:20
L-CRFs for Infinite Sequences (4)09:38
L-CRFs for Infinite Sequences (5)10:36
L-CRFs for Infinite Sequences (6)11:18
L-CRFs for Infinite Sequences (7)11:36
L-CRFs for Infinite Sequences (8)11:46
L-CRFs for Infinite Sequences (9)11:56
L-CRFs for Infinite Sequences (10)11:57
L-CRFs for Infinite Sequences (11)11:58
L-CRFs for Infinite Sequences (12)11:59
L-CRFs for Infinite Sequences (13)12:01
L-CRFs for Infinite Sequences (14)12:03
L-CRFs for Infinite Sequences (15)12:04
L-CRFs for Infinite Sequences (16)12:07
Consistency of the MLEs (1)12:53
Consistency of the MLEs (2)12:57
Consistency of the MLEs (3)12:58
Consistency of the MLEs (4)15:06
Discussion (1)16:44
Discussion (2)16:47
References18:03