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» Using Generation for Grammar Analysis and Error Detection
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MICAI
2004
Springer
15 years 3 months ago
Automatic Enrichment of Very Large Dictionary of Word Combinations on the Basis of Dependency Formalism
The paper presents a method of automatic enrichment of a very large dictionary of word combinations. The method is based on results of automatic syntactic analysis (parsing) of sen...
Alexander F. Gelbukh, Grigori Sidorov, Sang-Yong H...
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 3 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
ASPDAC
2009
ACM
164views Hardware» more  ASPDAC 2009»
15 years 4 months ago
Accounting for non-linear dependence using function driven component analysis
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
Lerong Cheng, Puneet Gupta, Lei He
NIPS
1997
14 years 11 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ICCV
2007
IEEE
15 years 11 months ago
Minimizing the Reprojection Error in Surface Reconstruction from Images
This paper addresses the problem of image-based surface reconstruction. The main contribution is the computation of the exact derivative of the reprojection error functional. This...
Pau Gargallo, Emmanuel Prados, Peter F. Sturm