Machine learning is tied in with creating predictive models from uncertain data. Uncertainty implies working with imperfect or fragmented information.
In any case, we can oversee uncertainty utilizing the tools of probability.…Continue
Added by saurav singla on August 6, 2020 at 1:30am — No Comments
In many fields of science, it is important to understand the relevance of new theories or hypotheses in a description of experimental data, assuming that such data are already well represented by predictions of some well-accepted theory. A popular statistical method for setting upper limits (also called exclusion limits) on model parameters of a new theory is based on the CLs method.…Continue
Added by jwork.ORG on April 11, 2019 at 3:00pm — No Comments