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BMCBI
2006
119views more  BMCBI 2006»
13 years 8 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
HIS
2008
13 years 9 months ago
Learning Spatial Grammars for Drawn Documents Using Genetic Algorithms
The problem of object recognition may be cast into a spatial grammar framework. This system comprises three novel elements: a spatial organisation of line features, an efficient t...
Simon J. Hickinbotham, Anthony G. Cohn
EMNLP
2011
12 years 7 months ago
Inducing Sentence Structure from Parallel Corpora for Reordering
When translating among languages that differ substantially in word order, machine translation (MT) systems benefit from syntactic preordering—an approach that uses features fro...
John DeNero, Jakob Uszkoreit
AAAI
1992
13 years 9 months ago
Learning to Disambiguate Relative Pronouns
In this paper we show how a natural language system can learn to find the antecedents of relative pronouns. We use a well-known conceptual clustering system to create a case-based...
Claire Cardie
FLAIRS
2008
13 years 10 months ago
Graph Grammars: An ITS Technology for Diagram Representations
For many educational applications such as learning tools for argumentation, structured diagrams are a suitable form of external representation. However, student-created graphs pos...
Niels Pinkwart, Kevin D. Ashley, Vincent Aleven, C...