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Found 4 papers, 0 papers with code
Cramer-Rao bound and absolute sensitivity in chemical reaction networks
The idea is to track how concentration changes in a particular chemical propagate to changes of all the other chemicals within a steady state.
A Quantum Extension of Variational Bayes Inference
Variational Bayes (VB) inference is one of the most important algorithms in machine learning and widely used in engineering and industry.
Deterministic Quantum Annealing Expectation-Maximization Algorithm
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.
Relaxation of the EM Algorithm via Quantum Annealing for Gaussian Mixture Models
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.
