Data scientists use dimensionality reduction, ... (PCA), a popular dimensionality reduction algorithm, has found many useful applications to simplify machine learning problems.

These PRDs are (1) effective algorithms and tools that can be trusted by scientists for accuracy and efficiency, (2) progressive reduction algorithms that enable data to be prioritized for efficient ...

The smartest and best-funded can feed at least some of it into AI/ML training algorithms these days. But most are just struggling with storehouses of data, laden as that data is with the fading ...

Yoon’s approach is to develop ways to quantify the impact of a data reduction algorithm on signals in a data set precisely defined by scientists, e.g., a planet crossing a star, ...

The FlexiDedupe® and enhanced compression technology allow NeoSapphire OS version 4.0 to deliver a revolutionary data reduction algorithm that optimizes storage utilization in real-time on the ...

“Compared to training the neural network on the raw data, training it on a coreset generated by our proposed algorithm can reduce the data transfer by more than 99% at only 8% loss of accuracy.” ...