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Feature Construction for Relational Sequence Learning
[article]
2010
arXiv
pre-print
We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly each relational sequence is mapped into a feature vector using the result of a feature construction method. Since, the efficacy of sequence learning algorithms strongly depends on the features used to represent the sequences, the second step is to find an optimal subset of the constructed features leading to high classification
arXiv:1006.5188v1
fatcat:xyifh2y4jfc7zcsfz2vog3nmjm