no code implementations • 19 Apr 2017 • 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 likelihood estimates.
no code implementations • 12 Jan 2017 • 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 (DQAEM) algorithm.
no code implementations • 5 Jun 2016 • Hideyuki Miyahara, Koji Tsumura
The EM algorithm is a novel numerical method to obtain maximum likelihood estimates and is often used for practical calculations.
