A new life performance index is proposed for evaluating the quality of lifetime products. The maximum likelihood estimation method and Bayesian approaches using informative non-informative prior distributions are utilized to infer parameters Weibull distribution under a Type-I hybrid censoring scheme. Monte Carlo simulation results show that two outperform in terms measures relative bias, mean ...

Textual information is considered as significant supplement to knowledge representation learning (KRL). There are two main challenges for constructing knowledge representations from plain texts: (1) How to take full advantages of sequential contexts of entities in plain texts for KRL. (2) How to dynamically select those informative sentences of the corresponding entities for KRL. In this paper,...

Humans gain a wide range of knowledge through interacting with the environment. Each aspect of our perceptual experiences offers a unique source of information about the world-colours are seen, sounds heard and textures felt. Understanding how perceptual input provides a basis for knowledge is thus central to understanding one's own and others' epistemic states. Developmental research suggests ...

This report describes an Information Discovery tool, which is designed to help users with finding relevant information regarding the goals they intend to achieve. This information is extracted from an input corpus and organized into a knowledge graph. The knowledge graph is created by extracting informative entities and the relations connecting them to one another. The architecture of this syst...

Background: Formative assessment is one of the most valuable approaches that could help medical students to learn and improve their clinical knowledge skills. Its value comes from informative constructive feedback after careful observation candidates by educators.

Incorporating prior knowledge into black-box classifiers is still much of an open problem. We propose a hybrid Bayesian methodology that consists in encoding prior knowledge in the form of a (Bayesian) belief network and then using this knowledge to estimate an informative prior for a black-box model (e.g. a multilayer perceptron). Two technical approaches are proposed for the transformation of...

Determining fields of excellence in the know-how of knowledge intensive companies is often a crucial decisional process, aimed e.g., at identifying the competence to be strengthened or to invest on in a long term strategy. In this paper we propose a semantic-based approach for automatic extraction of such a specializing knowledge, usually called Core Competence in knowledge management literatur...

In this extended abstract1, we consider the “small n, large p” prediction problem, where the number of available samples n is much smaller compared to the number of covariates p. This challenging setting is common for multiple applications, such as precision medicine, where obtaining additional samples can be extremely costly or even impossible. Extensive research effort has recently been dedic...

entrepreneurial efforts that resulted from entrepreneurial intention depend on the attachment with entrepreneurial practices physically and informatively. the physical attachment through the priority of male genders, getting entrepreneurs as family member or as admired persons and the informative attachment through getting information of entrepreneurs and entrepreneurship by courses and program...