Mixture models have been widely used for data clustering. However, commonly used mixture models are generally of a parametric form (e.g., mixture of Gaussian distributions or GMM),...
SystemC is widely used for modeling and simulation in hardware/software co-design. Due to the lack of a complete formal semantics, it is not possible to verify SystemC designs. In...
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Abstract— In practice, the development of process-aware information systems suffers from a gap between conceptual business process models and executable workflow specifications...
Jan Mendling, Boudewijn F. van Dongen, Wil M. P. v...
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...