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Learning Pretopological Spaces to Model Complex Propagation Phenomena: A Multiple Instance Learning Approach Based on a Logical Modeling [article]

Gaëtan Caillaut, Guillaume Cleuziou
2018 arXiv   pre-print
Though this framework is well suited for this task, its use for learning a pretopological space leads to a set of bags exponential in size.  ...  This paper addresses the problem of learning the concept of "propagation" in the pretopology theoretical formalism.  ...  The present work focuses on the pretopology theory, known for its ability to finely model complex propagation phenomena.  ... 
arXiv:1805.01278v1 fatcat:ks652kv3s5di3a5gqkfbmykb7y

Learning Pretopological Spaces for Lexical Taxonomy Acquisition [chapter]

Guillaume Cleuziou, Gaël Dias
2015 Lecture Notes in Computer Science  
Then, a structuring algorithm is used to transform the pretopological space into a lexical taxonomy.  ...  In order to learn a parameterized pretopological space, we define the Learning Pretopological Spaces strategy based on genetic algorithms.  ...  Pretopological Framework Pretopology [1] is a theory that generalizes both topology and graph theories and is commonly used to model complex propagation phenomena thanks to a pseudo-closure function.  ... 
doi:10.1007/978-3-319-23525-7_30 fatcat:zl54hjnirfeltbiy7fqbd5qrl4