Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations

This paper demonstrates that several known sequence kernels can be expressed in a unified framework in which the position specificity is modeled by fuzzy equivalence relations. In addition to this interpretation, we address the practical issues of positive semidefiniteness, computational complexity, and the extraction of interpretable features from the final support vector machine classifier. Keywords-- fuzzy equivalence relation, kernel, sequence classification, support vector machines.

• Type: Journal
• Year: 2009
• Where: EUSFLAT
• Authors: Ulrich Bodenhofer, Karin Schwarzbauer, Mihaela Ionescu, Sepp Hochreiter
• Keywords: EUSFLAT 2009, Fuzzy Equivalence Relation, Fuzzy Logic, Vector Machine Classifier, Vector Machines