Learning Reduced Order Dynamics via Geometric Representations
Imran Nasim, Melanie Weber
SCML 2024
Under some restrictions, the functional equivalence between misclassification cost-sensitive support vector machines(MC-SVM) and rule-based fuzzy inference system(FIS) is proposed. Then based on the learning mechanism of MC-SVM, the algorithm of designing a rule-based FIS, misclassification cost-sensitive mercer binary FIS (MC-MBFIS), is given. The MC-MBFIS algorithm has the good generalization ability, can avoid the "curse of dimension", and has the transparent inference ability. Experimental results based on a few benchmark data sets show that the MC-MBFIS algorithm can reduce the average misclassification cost.
Imran Nasim, Melanie Weber
SCML 2024
Masami Akamine, Jitendra Ajmera
IEICE Trans Inf Syst
Daniel Karl I. Weidele, Hendrik Strobelt, et al.
SysML 2019
Hagen Soltau, Lidia Mangu, et al.
ASRU 2011