The advantage of ensemble methods over single methods is their ability to correct the errors of individual ensemble members and thereby improve the overall ensemble performance. This paper explores the relation between ensemble diversity and noise detection performance in the context of ensemble-based class noise detection by studying different diversity measures on a range of heterogeneous noi...

Traffic accident data are often heterogeneous, which can cause certain relationships to remain hidden. Therefore, traffic accident analysis is often performed on a small subset of traffic accidents or several models are built for various traffic accident types. In this paper, we examine the effectiveness of a clustering technique, i.e. latent class clustering, for identifying homogenous traffic...

This paper investigates analytic robust stability criteria for large-scale cyclic gene–protein regulatory network systems consisting of genes with heterogeneous dynamics combined with parametric or unstructured uncertainties from a control-theoretic viewpoint. We first consider a class of gene expressions, which is described as an uncertain linear transcription–translation model (LTTM) with fee...

The diagnosis of Alzheimer's disease (AD) requires a variety of medical tests, which leads to huge amounts of multivariate heterogeneous data. Such data are difficult to compare, visualize, and analyze due to the heterogeneous nature of medical tests. We present a hybrid manifold learning framework, which embeds the feature vectors in a subspace preserving the underlying pairwise similarity str...

Semantic Interoperability is a major issue for National Spatial data Infrastructures (NSDIs) and mapping across heterogeneous databases is essential for such interoperability. Mapping of schemas based on ontology mapping provides opportunities for semantic translation of schemas elements and hence for database queries across heterogeneous sources. Such semantics based mappings are usually human...

Traditional load balancing algorithms for data-intensive iterative routines can successfully load balance relatively small problems. We demonstrate that they may fail on highly heterogeneous HPC platforms. Traditional algorithms use models of processors’ performance which are too simplistic to reflect the many aspects of heterogeneity. This paper presents a new class of dynamic load balancing a...

childhood hepatitis b virus (hbv) infection causes both medical and public health challenges. infants who acquire hbv parentally have up to 90% risk of developing chronic hbv infection. it is now estimated that approximately 10% of worldwide cancers are attributable to viral infection, with the vast majority (>85 %) occurring in the developing world. in this distribution, elevated rate and prev...

to be fairly general and catalyst is easily separated by magnetic devices and can be reused without any apparent loss of activity for the reaction. fe3o4 nanoparticles were prepared by chemical coprecipitation method and was found to be a mild and effective catalyst for the efficient, one-pot, three-component synthesis of 2,4,5-trisubstituted imidazoles at room temperature under ultrasound irra...

eggshell was found to be a versatile heterogeneous catalyst for the synthesis of pyrano[3,2-c]quinoline derivatives in good yields. this protocol has the advantages of environmental friendliness, short reaction time, low cost and convenient operation.

This paper studies the effects of allocation rules on the stability of mass tort class actions. I analyze a two-stage model in which a defendant faces multiple plaintiffs with heterogeneous damage claims. In stage 1, the plaintiffs play a noncooperative coalition formation game. In stage 2, the class action and any individual actions by opt-out plaintiffs are litigated or settled. I examine how...