Quantum machine learning has been one of the most tantalizing promises in computational finance: the idea that qubits, ...

NRDLC, a unified framework that removes noisy labels and selects informative features simultaneously for partial multi-label ...

Big data has gotten too big. Now, a research team with statisticians from Cornell has developed a data representation method inspired by quantum mechanics that handles large data sets more efficiently ...

Significant progress has been made in machine learning with large amounts of clean labels and static data. However, in many real-world applications, the data often changes with time and it is ...