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» Post-Analysis of Learned Rules
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EMNLP
2009
14 years 11 months ago
Bayesian Learning of Phrasal Tree-to-String Templates
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...
Ding Liu, Daniel Gildea
JUCS
2010
139views more  JUCS 2010»
15 years 8 days ago
LemmaGen: Multilingual Lemmatisation with Induced Ripple-Down Rules
: Lemmatisation is the process of finding the normalised forms of words appearing in text. It is a useful preprocessing step for a number of language engineering and text mining t...
Matjaz Jursic, Igor Mozetic, Tomaz Erjavec, Nada L...
MMB
2012
Springer
259views Communications» more  MMB 2012»
13 years 9 months ago
Boosting Design Space Explorations with Existing or Automatically Learned Knowledge
Abstract. During development, processor architectures can be tuned and configured by many different parameters. For benchmarking, automatic design space explorations (DSEs) with h...
Ralf Jahr, Horia Calborean, Lucian Vintan, Theo Un...
COGSCI
2008
75views more  COGSCI 2008»
15 years 13 days ago
Exemplars, Prototypes, Similarities, and Rules in Category Representation: An Example of Hierarchical Bayesian Analysis
This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that consid...
Michael D. Lee, Wolf Vanpaemel
ATMOS
2011
261views Optimization» more  ATMOS 2011»
14 years 1 months ago
On the Utilisation of Fuzzy Rule-Based Systems for Taxi Time Estimations at Airports
The primary objective of this paper is to introduce Fuzzy Rule-Based Systems (FRBSs) as a relatively new technology into airport transportation research, with a special emphasis o...
Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul ...