Zobrazeno 1 - 10
of 792
pro vyhledávání: '"Marconi, Lorenzo"'
In this paper, we propose the use of epistemic dependencies to express data protection policies in Controlled Query Evaluation (CQE), which is a form of confidentiality-preserving query answering over ontologies and databases. The resulting policy la
Externí odkaz:
http://arxiv.org/abs/2405.02458
Autor:
Marconi, Lorenzo, Rosati, Riccardo
Consistent Query Answering (CQA) is an inconsistency-tolerant approach to data access in knowledge bases and databases. The goal of CQA is to provide meaningful (consistent) answers to queries even in the presence of inconsistent information, e.g. a
Externí odkaz:
http://arxiv.org/abs/2401.05743
This paper deals with the problem of adaptive output regulation for multivariable nonlinear systems by presenting a learning-based adaptive internal model-based design strategy. The approach builds on the recently proposed adaptive internal model des
Externí odkaz:
http://arxiv.org/abs/2210.15938
The presented paper tackles the problem of modeling an unknown function, and its first $r-1$ derivatives, out of scattered and poor-quality data. The considered setting embraces a large number of use cases addressed in the literature and fits especia
Externí odkaz:
http://arxiv.org/abs/2210.15528
Autor:
Bonatti, Piero, Cima, Gianluca, Lembo, Domenico, Marconi, Lorenzo, Rosati, Riccardo, Sauro, Luigi, Savo, Domenico Fabio
Controlled Query Evaluation (CQE) has been recently studied in the context of Semantic Web ontologies. The goal of CQE is concealing some query answers so as to prevent external users from inferring confidential information. In general, there exist m
Externí odkaz:
http://arxiv.org/abs/2207.11155
Autor:
Marconi, Lorenzo, Rosati, Riccardo
We study consistent query answering in relational databases. We consider an expressive class of schema constraints that generalizes both tuple-generating dependencies and equality-generating dependencies. We establish the complexity of consistent que
Externí odkaz:
http://arxiv.org/abs/2207.09198
The paper deals with the problem of output regulation of nonlinear systems by presenting a learning-based adaptive internal model-based design strategy. We borrow from the adaptive internal model design technique recently proposed in [1] and extend i
Externí odkaz:
http://arxiv.org/abs/2206.12225
The paper deals with a well-known extremum seeking scheme by proving uniformity properties with respect to the amplitudes of the dither signal and of the cost function. Those properties are then used to show that the scheme guarantees the global mini
Externí odkaz:
http://arxiv.org/abs/2206.02313
Extremum seeking systems are powerful methods able to steer the input of a (dynamical) cost function towards an optimizer, without any prior knowledge of the cost function. To achieve their objective, they typically combine time-periodic signals with
Externí odkaz:
http://arxiv.org/abs/2204.03704
The paper deals with a well-known extremum seeking scheme by proving uniformity properties with respect to the amplitudes of the dither signal and of the cost function. Those properties are then used to show that the scheme guarantees the global mini
Externí odkaz:
http://arxiv.org/abs/2204.00580