TY - GEN
T1 - Modeling position specificity in sequence kernels by fuzzy equivalence relations
AU - Bodenhofer, Ulrich
AU - Schwarzbauer, Karin
AU - Ionescu, Mihaela
AU - Hochreiter, Sepp
PY - 2009
Y1 - 2009
N2 - 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 semi-definiteness, computational complexity, and the extraction of interpretable features from the final support vector machine classifier.
AB - 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 semi-definiteness, computational complexity, and the extraction of interpretable features from the final support vector machine classifier.
KW - Fuzzy equivalence relation
KW - Kernel
KW - Sequence classification
KW - Support vector machines
UR - https://www.scopus.com/pages/publications/79955772578
M3 - Conference contribution
AN - SCOPUS:79955772578
SN - 9789899507968
T3 - 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings
SP - 1376
EP - 1381
BT - 2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings
T2 - Joint 2009 International Fuzzy Systems Association World Congress, IFSA 2009 and 2009 European Society of Fuzzy Logic and Technology Conference, EUSFLAT 2009
Y2 - 20 July 2009 through 24 July 2009
ER -