Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent Features

2024-04-302024-04-302023-03-13http://hdl.handle.net/123456789/15737engUrheberrechtlich geschützthttps://rightsstatements.org/page/InC/1.0/machine learningneural netscontinuous kernelirregularly sampled datareflection spectroscopy004Utilizing Continuous Kernels for Processing Irregularly and Inconsistently Sampled Data With Position-Dependent FeaturesKonferenzveröffentlichungMaschinelles LernenNeuronales NetzDatenReflexionsspektroskopieDatenverarbeitung