International Business Machines Corporation

Thomas Doerk

Erik Rueger

Thorsten Muehge

Michael Diederich

Data may be handled based on compressibility (i.e., whether the data may be further compressed or is not further compressible). A supervised learning model may be trained using a set of known further compressible data and a set of known non-compressible data. Using these data sets, the model may generate weighting factors and bias for the particular data sets. The trained model may then be used to evaluate a set of unclassified data.

Growing community of inventors

Mainz, Germany

Thomas Doerk