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» Modular learning models in forecasting natural phenomena
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ALIFE
2006
13 years 5 months ago
Understanding Linguistic Evolution by Visualizing the Emergence of Topographic Mappings
We show how cultural selection for learnability during the process of linguistic evolution can be visualized using a simple iterated learning model. Computational models of linguis...
Henry Brighton, Simon Kirby
ACL
2010
13 years 3 months ago
Bootstrapping Semantic Analyzers from Non-Contradictory Texts
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
Ivan Titov, Mikhail Kozhevnikov
BIBE
2006
IEEE
160views Bioinformatics» more  BIBE 2006»
13 years 11 months ago
Methods for Random Modularization of Biological Networks
— Biological networks are formalized summaries of our knowledge about interactions among biological system components, like genes, proteins, or metabolites. From their global top...
Zachary M. Saul, Vladimir Filkov
CICLING
2010
Springer
14 years 6 days ago
Computational Models of Language Acquisition
Abstract. Child language acquisition, one of Nature’s most fascinating phenomena, is to a large extent still a puzzle. Experimental evidence seems to support the view that early ...
Shuly Wintner
COLING
2000
13 years 6 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney