Kim and his colleagues developed an offline algorithm that estimates min-entropy ... (Daegu Gyeongbuk Institute of Science and Technology). (2021, May 4). Algorithms improve how we protect our data.

For the Selection Sort algorithm followed by the Array Printing algorithm, the overall time-complexity function is the maximum of each algorithm’s time-complexity function, which happens to be O ...

Pamela Weber Harris , a former high school math teacher contends in a new volume, Developing Mathematical Reasoning: Avoiding the Trap of Algorithms, that too many classrooms focus too much on ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

Algorithms are sets of rules for solving problems or accomplishing tasks. Skip to content. News ... the process by which an algorithm digests scores of financial data becomes easy.

This algorithm solves the minimum-cost maximum-flow problem for networks that incrementally change as new connections are added. Furthermore, in a second paper accepted by the IEEE Symposium on ...