In my ignorance, I've thought of weighted ensemble (WE) as a specific kind of novelty search. E.g. weighting toward trajectories that exhibit anomalies. Is that what you mean by it?
Also, for each of the 5 you're interested in, do you have convenient example cites for each/any of them? In particular, (2) and (3)? Or are these just ideas of places where you think WE should apply? For my part, no. I haven't used WE in particular. I have a friend who's worked on identifying mechanical anomalies from audio (recordings of machines as they hum). He may have used it. I'll ask. On 8/29/21 1:07 PM, Jon Zingale wrote: > I am presently working on learning weighted ensemble > <https://arxiv.org/pdf/1906.00856.pdf> sampling techniques and was curious if > any here have worked with them before. The technique seems promising and has > enjoyed quite a bit of success (even above MCMC > <https://en.wikipedia.org/wiki/Markov_chain_Monte_Carlo>) in circles > concerned with reaction rates for rare events. > > Some points of interest for me include: > > 1. A better sampling of fringe-outlier works/art from streaming services. > 2. An alternative (bin-based sampling) to globally defined "fitness" > measures in evolutionary modeling. > 3. An application of diffusion-limited aggregation to general search > (especially in the face of limited resources) > 4. An application of linear logic to optimization problems in conformation > prediction <https://en.wikipedia.org/wiki/Protein_structure_prediction>. > 5. Investigation of dynamical properties, such as distribution of > trajectories with "high winding number", on strange attractors. > > > While I am just beginning to grok the technique, I thought it might be > fruitful to ask here. > > Jon -- ☤>$ uǝlƃ - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . FRIAM Applied Complexity Group listserv Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com FRIAM-COMIC http://friam-comic.blogspot.com/ archives: http://friam.471366.n2.nabble.com/
