The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Data smoothing uses an algorithm to remove noise from a data set, allowing important patterns to stand out. Data smoothing can be used to predict trends, such as those found in securities prices.

Smoothing algorithms for monotonic rating level PD and rating migration probability are proposed. The approaches can be characterized as follows: These approaches are based on constrained maximum ...

Nevertheless, in 2022, Bender and five colleagues decided to try out a randomized, non-smooth algorithm anyway, just to see whether it might offer any advantages. A Secret History.

You may have heard some talk about the so-called and poorly-named "Beautygate," where users are claiming Apple's new iPhone XS and XS Max are applying overly-aggressive skin smoothing algorithms ...

In a 2022 paper, Bender, Kuszmaul and four co-authors created just such an algorithm — one that was “history independent,” non-smooth and randomized — which finally reduced the 1981 upper bound, ...

Kindle 2 has font smoothing algorithms and its screen offers more levels of gray in order to better render text and pictures. But the changes have backfired by making text more difficult to read ...

In the process of loan pricing, stress testing, capital allocation, modeling of probability of default (PD) term structure and International Financial Reporting Standard 9 expected credit loss ...