The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

Tony F. Chan, Gene H. Golub, Randall J. LeVeque, Algorithms for Computing the Sample Variance: Analysis and Recommendations, The American Statistician, Vol. 37, No. 3 ...

Novel AI algorithm for digital pathology analysis The framework was able to accurately classify different lung tumors Date: May 23, 2022 Source: Boston University School of Medicine Summary ...

The first part of this article presents the Monte Carlo implementation of the E step of the EM algorithm. Given the current guess to the maximizer of the posterior distribution, latent data patterns ...

Catalog : COMP.4040 Analysis of Algorithms (Formerly 91.404) COMP.4040 — Undergraduate Id: 008095 Offering: 1 Credits: 3-3 Description Development of more sophisticated ideas in data type and ...

Applied Statistics & Statistical Learning Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve ...