Machine learning technology remains a challenge in patent claims


By Yuki Onoe and Sameer Gokhale (May 2, 2022, 5:28 p.m. EDT) — Support Vector Machine Recursive Feature Elimination, or SVM-RFE, is a technology that can be used to find relevant patterns in a large data set, such as the data generated in the sequencing of genomes and the production of smaller subsets.

In Health Discovery Corp. vs. Intel Corp.,[1] the HDC patent holder, in his infringement complaint, referred to the innovative aspects of the technology:

Support Vector Machine — Recursive Feature Elimination (“SVM-RFE”) is an application of SVM that was invented by Dr. Weston and Dr. Guyon as members of the HDC science team, to find discriminant relationships in clinical datasets, as well as within genes. expression…

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