In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
This paper presents an online feature selection and classification algorithm. The algorithm is implemented for impact acoustics signals to sort hazelnut kernels. The classifier, w...
In recent years, the data management community has begun to consider situations in which data access is closely tied to network routing and distributed acquisition: examples includ...
Mengmeng Liu, Nicholas E. Taylor, Wenchao Zhou, Za...
The starting point for software evolution is usually a change request, expressing the new or updated requirements on the delivered system. The requirements specified in a change ...
Filippo Ricca, Marco Torchiano, Mariano Ceccato, P...