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CCE
2006
15 years 7 months ago
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
The neural network (NN) models well trained and validated by the same data may exhibit noticeably different predictabilities in applications. This is mainly due to the fact that t...
Jia Li, Yinlun Huang
ACL
1997
15 years 8 months ago
Three Generative, Lexicalised Models for Statistical Parsing
In this paper we first propose a new statistical parsing model, which is a generative model of lexicalised context-free grammar. We then extend the model to include a probabilisti...
Michael Collins
FMOODS
2006
15 years 8 months ago
Generating Instance Models from Meta Models
Meta modeling is a wide-spread technique to define visual languages, with the UML being the most prominent one. Despite several advantages of meta modeling such as ease of use, the...
Karsten Ehrig, Jochen Malte Küster, Gabriele ...
ACL
2001
15 years 8 months ago
A Syntax-based Statistical Translation Model
We present a syntax-based statistical translation model. Our model transforms a source-language parse tree into a target-language string by applying stochastic operations at each ...
Kenji Yamada, Kevin Knight
ACL
1997
15 years 8 months ago
Hierarchical Non-Emitting Markov Models
We describe a simple variant of the interpolated Markov model with nonemitting state transitions and prove that it is strictly more powerful than any Markov model. More importantl...
Eric Sven Ristad, Robert G. Thomas