Aiming to increase the shelf life of food, researchers are moving toward new methodologies
to maintain the quality of food as food grains are susceptible to spoilage due to precipitation …

In the bone marrow, plasma cells are made up of B lymphocytes and are a type of WBC.
These plasma cells produce antibodies that help to keep bacteria and viruses at bay, thus …

At present, Bayesian networks lack consistent algorithms that support structure
establishment, parameter learning, and knowledge reasoning, making it impossible to …

In this paper, we propose a Dirichlet process (DP) mixture model of Gamma distributions,
which is an extension of the finite Gamma mixture model to the infinite case. In particular, we …

Inside the bone marrow, plasma cells are created, and they are a type of white blood cells.
They are made from B lymphocytes. Antigens are produced by plasma cells to combat …

Learning statistical models successfully is both an essential and a challenging task for
various pattern recognition and knowledge discovery applications. In particular, generative …

This paper presents a variant of the Multinomial mixture model tailored for the unsupervised
classification of short text data. Traditionally, the Multinomial probability vector in this …

In order to solve the problems of data acquisition, quantitative analysis and model solving in
the field of construction schedule optimization, a construction schedule optimization system …

Finite Gamma mixture models have proved to be flexible and can take prior information into
account to improve generalization capability, which make them interesting for several …

In this paper, we propose an efficient learning framework for both finite and infinite Gamma
mixture models. Unlike existing learning methods such as maximum-likelihood method, we …