This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications.
Jul 8, 2009 · This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis ...
ABSTRACT. This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis ...
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications.
In this paper, we address the problem of graph feature extraction and selection for link analysis in weblogs and similar social networks.
author = "Tim Weninger and William H. · title = "An evolutionary approach to constructive induction for link discovery", · booktitle = "GECCO '09: Proceedings of ...
This paper presents a genetic programming-based symbolic regression approach to the construction of relational features in link analysis applications.
This thesis explores the application of the evolutionary computation approach to constructive induction, and will therefore describe the approach in greater ...
2010. TLDR. This work proposes an evolutionary method to feature reduction by means of selection and construction by using Genetic Algorithm and Gene ...
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An evolutionary approach to constructive induction for link discovery. T Weninger, WH Hsu, J Xia, W Aljandal. Proceedings of the 11th Annual Conference ...