International Business Machines Corporation

Aindrila Basak

Petr Novotny

Shaikh Shahriar Quader

Berthold Reinwald

Horst Cornelius Samulowitz

Adrian Mahjour

Chad Marston

Dheeraj Arremsetty

Carlo Appugliese

Providing a representative dataset from an initial dataset by accessing a dataset associated with a machine learning model, receiving input parameters associated with the representative dataset selection, the input parameters including an evaluation metric, determining a density of a plurality of datapoints associated with the dataset, training a first iteration of a machine learning model using a first data point selected according to the density, determining a first value of the evaluation metric for the first iteration of the machine learning model, generating a representative subset based on the first value of the evaluation metric value, and providing the representative dataset and a final machine learning model trained using the representative dataset.

Selecting a high coverage dataset

A quality determination method, system, and computer program product that includes performing a dimensionality reduction on a high-dimensional dataset to form a dimensional-reduced dataset and determining, using a machine learning tool executed on a computing device, a quality of the dimensional-reduced dataset via a review of an extracted feature extracted from the dimensional-reduced dataset.

Quality assessment of extracted features from high-dimensional machine learning datasets

Growing community of inventors

Edmonton, Canada

Aindrila Basak