The covariation component of everyday causal inference has been depicted, in both cognitive and social psychology as well as in philosophy, as heterogeneous and prone to biases. The models and biases discussed in these domains are analyzed with respect to focal sets: contextually determined sets of events over which covariation is computed. Moreover, these models are compared to our probabilist...

Data integration systems offer uniform access to a set of autonomous and heterogeneous data sources. An important task in setting up a data integration system is to match the attributes of the source schemas. In this paper, we propose a data integration system which uses the knowledge implied within functional dependencies for matching the source schemas. We build our system on a probabilistic ...

Location information as a piece of context is considered to be of particular interest to ubiquitous computing applications. In this work, we present a probabilistic positioning service that employs an available ubiquitous computing infrastructure for the localization of mobile devices. The service draws on various heterogeneous sensors that serve as sources of location information. Data from th...

In this paper, the problem of semantic place categorization in mobile robotics is addressed by considering a time-based probabilistic approach called Dynamic Bayesian Mixture Model (DBMM), which is an improved variation of the Dynamic Bayesian Network (DBN). More specifically, multi-class semantic classification is performed by a DBMM composed of a mixture of heterogeneous base classifiers, usi...

Complex, human-dominated landscapes provide unique challenges to animals. In landscapes fragmented by human activity, species whose home ranges ordinarily consist of continuous habitat in pristine environments may be forced to forage among multiple smaller habitat patches embedded in an inhospitable environment. Furthermore, foragers often must decide whether to traverse a heterogeneous suite o...

The paper deals with the robustness of uncertain computational elastoacoustic models in lowand medium-frequency ranges. The elastoacoustic system is made up of a heterogeneous viscoelastic structure coupled with an internal acoustic cavity filled with a dissipative acoustic fluid. A reduced mean elastoacoustic model is deduced from the mean finite element model by using the modal approach with ...

The mobile phone plays an entertainment role in human life with the help of heterogeneous network by accessing multimedia content. But users faces a certain problems while access multimedia like long buffering time and intermittent disruption due to gap between demand traffic and link capacity, along with time varying link condition. The proposed technique focus on providing adaptive video stre...

Glioblastoma multiforme, a neoplasm with variable histological and biological features, is characterized by diverse imaging features, including highly heterogeneous enhancement. This reflects variable disruption of the blood brain barrier and inherent differences in the vascularity of the tumor. Experience in treating malignant glioma with antiangiogenic drugs is growing, and the most commonly ...