  We give two new global and algorithmic constructions of the reproducing
kernel Hilbert space associated to a positive definite kernel. We further
present ageneral positive definite kernel setting using bilinear forms, and we
provide new examples. Our results cover the case of measurable positive
definite kernels, and we give applications to both stochastic analysisand
metric geometry and provide a number of examples.
