J. Picone

A Doubly Hierarchical Dirichlet Process Hidden Markov Model with a Non-Ergodic Structure

2015 · IEEE/ACM Transactions on Audio Speech and Language Processing

Nonparametric Bayesian models use a Bayesian framework to learn model complexity automatically from the data, eliminating the need for a complex model selection process. A Hierarchical Dirichlet Process Hidden Markov Model (HDPHMM) is the nonparametric …

IMLD: A Python-Based Interactive Machine Learning Demonstration

2021

The related fields of machine learning and pattern recognition have enjoyed significant success in recent years due to the impact of deep learning algorithms [1]. Pattern recognition is the automatic recognition of regularities or trends …