The kernel methods have become very popular in machine learning. There are hundreds of kernels for various problems. Is it possible to develop a similarly rich set of techniques based on Banach rather than Hilbert spaces? A step in this direction was done in Vovk (2007).
Vladimir Vovk (2007) Competing with wild prediction rules. Machine Learning 69:193 - 212.