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» Some Morphological Operators on Simplicial Complex Spaces
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IJCAI
2003
13 years 8 months ago
Spaces of Theories with Ideal Refinement Operators
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, ...
WIA
2000
Springer
13 years 10 months ago
Applications of Finite-State Transducers in Natural Language Processing
This paper is a review of some of the major applications of finite-state transducers in Natural Language Processing ranging from morphological analysis to finite-state parsing. The...
Lauri Karttunen
BMCBI
2011
12 years 10 months ago
NeurphologyJ: an automatic neuronal morphology quantification method and its application in pharmacological discovery
Background: Automatic quantification of neuronal morphology from images of fluorescence microscopy plays an increasingly important role in high-content screenings. However, there ...
Shinn-Ying Ho, Chih-Yuan Chao, Hui-Ling Huang, Tza...
AIR
1998
103views more  AIR 1998»
13 years 6 months ago
Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis
Abstract. Genetic algorithms play a significant role, as search techniques for handling complex spaces, in many fields such as artificial intelligence, engineering, robotic, etc...
Francisco Herrera, Manuel Lozano, José L. V...
PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
14 years 1 months ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond