698 search results - page 23 / 140 » Bayesian probability |
NIPS
2001
13 years 9 months ago
2001
Narayanan and Jurafsky (1998) proposed that human language comprehension can be modeled by treating human comprehenders as Bayesian reasoners, and modeling the comprehension proce...
ICGI
1994
Springer
13 years 11 months ago
1994
Springer
We describe a framework for inducing probabilistic grammars from corpora of positive samples. First, samples are incorporated by adding ad-hoc rules to a working grammar; subseque...
NIPS
1992
13 years 8 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...
EMNLP
2009
13 years 5 months ago
2009
We examine the problem of overcoming noisy word-level alignments when learning tree-to-string translation rules. Our approach introduces new rules, and reestimates rule probabilit...