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Deterministic Quantum Annealing Expectation-Maximization Algorithm
Hideyuki Miyahara, Koji Tsumura, Yuki Sughiyama
Maximum likelihood estimation (MLE) is one of the most important methods in machine learning, and the expectation-maximization (EM) algorithm is often used to obtain maximum likeli…
Relaxation of the EM Algorithm via Quantum Annealing for Gaussian Mixture Models
Hideyuki Miyahara, Koji Tsumura, Yuki Sughiyama
We propose a modified expectation-maximization algorithm by introducing the concept of quantum annealing, which we call the deterministic quantum annealing expectation-maximization…
Relaxation of the EM Algorithm via Quantum Annealing
Hideyuki Miyahara, Koji Tsumura
The EM algorithm is a novel numerical method to obtain maximum likelihood estimates and is often used for practical calculations. However, many of maximum likelihood estimation pro…