149 search results - page 15 / 30 » Language Learning from Stochastic Input |
78
Voted
ACL
1997
14 years 11 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...
ICML
2010
IEEE
14 years 10 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...
84
Voted
PODS
2010
ACM
15 years 2 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 ...
ECCV
2004
Springer
15 years 11 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...
AIPS
2007
14 years 12 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...