(UroToday.com) Friday’s afternoon plenary session featured Dr. Giovanni E. Cacciamani, who delivered a state-of-the-art lecture on advances in image-guided robotic surgery. Drawing on his group’s ...

Here's the corrected and polished version: Implementation of randomized greedy algorithms for solving the Knapsack Problem and Traveling Salesman Problem in C++. Educational project demonstrating ...

There’s a familiar look in every college lecture hall. The glazed-over stare of someone just realizing they’re twelve slides wholly behind and lost. The professor keeps talking. The notes don’t make ...

During the past fifteen years, there has been a tremendous growth of research on randomized (sketching) algorithms for large-scale computations, such as matrix ...

Cryptography deals with encoding information in a special way such that encoded messages can only be decoded and read by someone with special knowledge. This done to ensure secure communications; you ...

In statistics and machine learning, logistic regression is a widely-used supervised learning technique primarily employed for binary classification tasks. When the number of observations greatly ...

Abstract: In undirected graphs with real non-negative weights, we give a new randomized algorithm for the single-source shortest path (SSSP) problem with running time ...

In this study, we were aimed to identify important variables via machine learning algorithms and predict postoperative delirium (POD) occurrence in older patients. This study was to make the secondary ...

Abstract: The Kaczmarz algorithm is popular for iteratively solving an over determined system of linear equations. Randomized version of the Kaczmarz algorithm can converge exponentially and ...

Applications to Ramsey Theory is one of the central topics in the mathematical field of random structures and algorithms. Two major breakthroughs occurred prior to Carnegie Mellon University hosted ...