> > 1. What is the significance of the geodesic distance? It measures the > "true" distance between 2 probabilistic distributions. In your > application, the search algorithm needs to advance by a distance 𝛄 (which > I take is like a "learning rate" kind of parameter) in which you use the > geodesic path. But how does this lead to superior performance? Even if > you move in the promise landscape in a path that deviates from the > geodesic, what is the disadvantage? > > The disadvantage is wasting time. The geodesic is the shortest path, which therefore requires the smallest number of steps to follow (all else equal)
> 2. If the non-parametric info-geometry idea is applied to the space of > logic formulas, that may be very interesting... > sure... ben ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
