Quantum Expectation-Maximization for Gaussian Mixture Models

ICLR 2020 Iordanis KerenidisAlessandro LuongoAnupam Prakash

The Expectation-Maximization (EM) algorithm is a fundamental tool in unsupervised machine learning. It is often used as an efficient way to solve Maximum Likelihood (ML) estimation problems, especially for models with latent variables... (read more)

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