48 resultados para Predication


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El proyecto tipográfico del irlandés Albert O’Farail se concibió como un libro misionero destinado a la empresa confesional que la monarquía de España desarrollaba en las Islas Británicas desde comienzos del Seiscientos. Las traducciones de distintos tratados doctrinales y teológicos, representados por su devoción particular a la Virgen María, procuraban acercar la religión a los católicos del Norte a través de mecanismos de proximidad cultural como complemento a la predicación de los ministros espirituales patrocinados por Carlos II. El empeño por dar a las prensas esta miscelánea de obras, financiada por la corona y compuesta por el arte de su propio autor, discurrió en paralelo a la querella abierta por su esposa, María Manuela Laínez, para reivindicar sus derechos nobiliarios al título marquesal de Mayo. Tanto en Madrid como en Roma, la imbricación de ambos negociados determinó su malograda resolución.

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This paper analyzes the inner relations between classical sub-scheme probability and statistic probability, subjective probability and objective probability, prior probability and posterior probability, transition probability and probability of utility, and further analysis the goal, method, and its practical economic purpose which represent by these various probability from the perspective of mathematics, so as to deeply understand there connotation and its relation with economic decision making, thus will pave the route for scientific predication and decision making.

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A comprehensive user model, built by monitoring a user's current use of applications, can be an excellent starting point for building adaptive user-centred applications. The BaranC framework monitors all user interaction with a digital device (e.g. smartphone), and also collects all available context data (such as from sensors in the digital device itself, in a smart watch, or in smart appliances) in order to build a full model of user application behaviour. The model built from the collected data, called the UDI (User Digital Imprint), is further augmented by analysis services, for example, a service to produce activity profiles from smartphone sensor data. The enhanced UDI model can then be the basis for building an appropriate adaptive application that is user-centred as it is based on an individual user model. As BaranC supports continuous user monitoring, an application can be dynamically adaptive in real-time to the current context (e.g. time, location or activity). Furthermore, since BaranC is continuously augmenting the user model with more monitored data, over time the user model changes, and the adaptive application can adapt gradually over time to changing user behaviour patterns. BaranC has been implemented as a service-oriented framework where the collection of data for the UDI and all sharing of the UDI data are kept strictly under the user's control. In addition, being service-oriented allows (with the user's permission) its monitoring and analysis services to be easily used by 3rd parties in order to provide 3rd party adaptive assistant services. An example 3rd party service demonstrator, built on top of BaranC, proactively assists a user by dynamic predication, based on the current context, what apps and contacts the user is likely to need. BaranC introduces an innovative user-controlled unified service model of monitoring and use of personal digital activity data in order to provide adaptive user-centred applications. This aims to improve on the current situation where the diversity of adaptive applications results in a proliferation of applications monitoring and using personal data, resulting in a lack of clarity, a dispersal of data, and a diminution of user control.