Knowledge Sharing is a crucial issue in the Semantic Web: SW services expose and share knowledge content (expressed through ontologies and related knowledge bases) arising from distinct languages, locales, and personal perspectives; in this scenario, semantic alignment approaches play a pivotal role, providing viable solutions for integrating heterogeneous resources, still maintaining their loc...

Rice flour, corn flour and deoiled rice bran blends were used to prepare ready-to-eat extrudates

abstract introduction: the child control and supervising is a parental task. this ‎research is focus on dimensions of child control and supervising and effects ‎of these on children in military families. ‎ methods: the research method was descriptive and correlation the subjects ‎was 400 children of sepah staffs. the sampling method was double – cluster ‎and the collected data with family child...

Causal influence measures for machine learnt classifiers shed light on the reasons behind classification, and aid in identifying influential input features and revealing their biases. However, such analyses involve evaluating the classifier using datapoints that may be atypical of its training distribution. Standard methods for training classifiers that minimize empirical risk do not constrain ...

We introduce a framework to leverage knowledge acquired from a repository of (heterogeneous) supervised datasets to new unsupervised datasets. Our perspective avoids the subjectivity inherent in unsupervised learning by reducing it to supervised learning, and provides a principled way to evaluate unsupervised algorithms. We demonstrate the versatility of our framework via simple agnostic bounds...