Abstract: New bounds on classification error rates for the error-correcting output code (ECOC) approach in machine learning are presented. These bounds have ...

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This project focuses on automatically correcting errors in programming code submissions using machine learning techniques. The goal is to predict the most likely ...

In this work, a new Multiple-Cell Size (MCS) approach is being proposed for utilizing Histogram of Oriented Gradient (HOG) features and a Support Vector Machine (SVM) based classifier for efficient ...

Researchers have used machine learning to perform error correction for quantum computers -- a crucial step for making these devices practical -- using an autonomous ...

Researchers from the RIKEN Center for Quantum Computing have used machine learning to perform error correction for quantum computers—a crucial step for making these ...