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» Learning Linearly Separable Languages
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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
AI
2006
Springer
13 years 8 months ago
Discovering the linear writing order of a two-dimensional ancient hieroglyphic script
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Shou de Lin, Kevin Knight
LACL
2001
Springer
14 years 1 months ago
Structural Equations in Language Learning
In categorial systems with a fixed structural component, the learning problem comes down to finding the solution for a set of typeassignment equations. A hard-wired structural co...
Michael Moortgat
CRIWG
2001
13 years 10 months ago
Integration of Domain-Specific Elements into Visual Language Based Collaborative Environments
This paper presents an approach for the integration of domain related elements and operational semantics into collaborative environments based on visual languages. This integratio...
Niels Pinkwart, Heinz Ulrich Hoppe, Katrin Ga&szli...
PAMI
1998
87views more  PAMI 1998»
13 years 8 months ago
Learning Local Languages and Their Application to DNA Sequence Analysis
—This paper concerns an efficient algorithm for learning in the limit a special type of regular languages called strictly locally testable languages from positive data, and its a...
Takashi Yokomori, Satoshi Kobayashi