149 search results - page 15 / 30 » Language Learning from Stochastic Input |
93
Voted
ACL
1997
15 years 1 months ago
1997
In data-oriented language processing, an annotated language corpus is used as a stochastic grammar. The most probable analysis of a new sentence is constructed by combining fragme...
100
click to vote
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
This paper studies the problem of learning from ambiguous supervision, focusing on the task of learning semantic correspondences. A learning problem is said to be ambiguously supe...
108
click to vote
PODS
2010
ACM
15 years 5 months ago
2010
ACM
A generalization from string to trees and from languages to translations is given of the classical result that any regular language can be learned from examples: it is shown that ...
101
click to vote
ECCV
2004
Springer
16 years 2 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
93
Voted
AIPS
2007
15 years 2 months ago
2007
In sequential decision-making problems formulated as Markov decision processes, state-value function approximation using domain features is a critical technique for scaling up the...