In the past 25 years, computer scientists and statisticians developed machine learning
algorithms capable of modeling highly nonlinear transformations and interactions of input …

Purpose The development of digital technology has provided technical support to various
industries. Specifically, Internet-based freight platforms can ensure the high-quality …

Machine learning or Data mining algorithms can be used for predicting future management
and thus treated as powerful tools. In recent days, data mining has become very important …

We discuss how mixtures of Gamma distributions with mixing probabilities, shape and rate
parameters depending on features can be fitted with neural networks. We develop two …

Cluster-weighted models (CWMs) extend finite mixtures of regressions (FMRs) in order to
allow the distribution of covariates to contribute to the clustering process. In this article, we …

Much work has been done in the area of the cluster weighted model (CWM), which extends
the finite mixture of regression model to include modelling of the covariates. Although many …

Machine learning has been used by insurance companies for nearly a decade to identify
potential risks and improve underwriting decisions. Nonetheless, there is a lack of …

In recent days, a combination of finite mixture model (FMM) and hidden Markov model
(HMM) is becoming popular for partitioning heterogeneous temporal data into …

Abstract Bonus-Malus Systems traditionally consider a customer's number of claims
irrespective of their sizes, even though these components are dependent in practice. We …

The paper deals with predicting a discrete target variable described by the Poisson
distribution based on the discretized Gaussian explanatory data under condition of the …