Cluster-weighted modeling (CWM) is a versatile inference algorithm for deriving a functional relationship between input data and output data by using a mixture of expert clusters. Each cluster is localized to a Gaussian input region and possesses its own trainable local model. The CWM algorithm uses expectation-maximization (EM) to find the optimal locations of clusters in the input space and t...

The notion that relationships between community-weighted mean (CWM) traits (i.e. plot-level trait values weighted by species abundances) and environmental conditions reflect selection towards locally optimal phenotypes is challenged by the large amount of interspecific trait variation typically found within ecological communities. Reconciling these contrasting patterns is a key to advancing pre...

Purpose The collaboration of conventional western medicine (CWM) with traditional Korean medicine (TKM) is a critical issue in the Korean medical system. Becoming dual medical license holders (DMD) having both MD and TKMD licenses is considered a way of overcoming conflicts arising from mutual ignorance and misunderstanding. This study aims to investigate medical practices and attitudes of DMDs...

This work proposes a method for prioritising critical water mains (CWMs) with high risk, in terms of both failure probability and consequence costs. The proposed method can improve the prioritisation of high-risk CWMs requiring condition assessment in the near future and will further optimise the operational maintenance of water utilities. Due to the improved prioritisation, water utilities can...

Heterogene Data Warehouse-Landschaften sind durch eine Vielzahl verschiedener Softwarekomponenten gekennzeichnet, deren Integration zu einer funktionierenden Business Intelligence-Lösung eine besondere Herausforderung darstellt. Die Metadaten der beteiligten Komponenten stellen dabei einen viel versprechenden Ansatz der effektiven und effizienten Verknüpfung dar, die aber durch die proprietären...

Nowadays, on the basis of a common standard for metadata representation and interchange mechanism in data warehouse environments, Common Warehouse Metamodel (CWM) – based ETL processes still has to face significant challenges in semantically and systematically integrating heterogeneous sources to data warehouse. In this context, we focus on proposing an ontology-based ETL framework for covering...

A challenging problem in machine learning, information retrieval and computer vision research is how to recover a low-rank representation of the given data in the presence of outliers and missing entries. The L1-norm low-rank matrix factorization (LRMF) has been a popular approach to solving this problem. However, L1-norm LRMF is difficult to achieve due to its non-convexity and non-smoothness,...

BACKGROUND The different hypotheses proposed to explain positive species richness-productivity relationships, i.e. selection effect and complementarity effect, imply that plant functional characteristics are at the core of a mechanistic understanding of biodiversity effects. METHODOLOGY/PRINCIPAL FINDINGS We used two community-wide measures of plant functional composition, (1) community-weigh...

Purpose Korea’s medical system, comprising of conventional western medicine (CWM) and traditional Korean medicine (TKM), is at the same time dichotomistic and dualistic. TKM has its own systems for education and national licensing. While there is a sharp distinction between the practices of medical doctors (MD) and TKM doctors (TKMD) legally, there are also many conflicts arising from crossover...