We address the problem of rough applicability of rules within the framework of approximation spaces. The graded applicability of a rule for an object of an approximation space, introduced here, is viewed as a fundamental form of rough applicability. It is based on the graded meaning of a set of formulas, defined in our previous works. The notion of graded applicability enjoys a number of intere...

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Title: “D13.8: Applicability of privacy models” Author: WP13 Editors: David-Olivier Jaquet-Chiffelle Bernhard Anrig Emmanuel Benoist (VIP Bern University of Applied Sciences) Reviewers: Jozef Vyskoc (VaF, s.r.o. Slovak Republic) Hans J.C. Buitelaar (Tilburg U., Netherlands) Identifier: D13.8 Type: [Deliverable] Version: 1.0 Date: Monday, 02 June 2008 Status: [Final] Class: [Public] File: fidis-...

A class of models for mixed continuous and nominal data was proposed by Lauritzen and Wermuth. Log-linear models, linear regression and (M)ANOVA are special cases of these mixed graphical models. Their clear interpretation by means of independence graphs based on Markov properties makes them useful in applied multivariate statistics. Only few statistical software is developed yet for these mode...

While this statement seems obvious, this has not been so a few years ago, when basic research funding seemed to be running out, and industrial uptake was hardly happening. In the meantime, we do not only see sustained funding for Semantic Web related research (in particular by the European Commission), but also significant investment by industry, including major IT and venture capital companies...

We develop an approach to affine symplectic invariant geometry of Lagrangian surfaces by the method of moving frames. The fundamental invariants of elliptic Lagrangian immersions in affine symplectic four-space are derived together with their integrability equations. The invariant setup is applied to discuss the question of symplectic applicability for elliptic Lagrangian immersions. Explicit e...

In this article, we further study the problem of soft applicability of rules within the framework of approximation spaces. Such forms of applicability are generally called rough. The starting point is the notion of graded applicability of a rule to an object, introduced in our previous work and referred to as fundamental. The abstract concept of rough applicability of rules comprises a vast num...

The proliferation of Android devices brings the fragmentation problem. Selecting and prioritizing major device models are critical for mobile app developers to select testbeds and optimize various issues such as quality-assurance, release planning, revenues, and so on. PRADA, an approach proposed in our previous work, was designed to help prioritizing Android devices for apps. In this paper, we...