Zobrazeno 1 - 10
of 291
pro vyhledávání: '"Riguzzi, Fabrizio"'
Autor:
Azzolini, Damiano, Riguzzi, Fabrizio
Probabilistic Answer Set Programming under the credal semantics (PASP) extends Answer Set Programming with probabilistic facts that represent uncertain information. The probabilistic facts are discrete with Bernoulli distributions. However, several r
Externí odkaz:
http://arxiv.org/abs/2409.20274
Solving a decision theory problem usually involves finding the actions, among a set of possible ones, which optimize the expected reward, possibly accounting for the uncertainty of the environment. In this paper, we introduce the possibility to encod
Externí odkaz:
http://arxiv.org/abs/2408.11371
Parameter learning is a crucial task in the field of Statistical Relational Artificial Intelligence: given a probabilistic logic program and a set of observations in the form of interpretations, the goal is to learn the probabilities of the facts in
Externí odkaz:
http://arxiv.org/abs/2408.08732
Autor:
Azzolini, Damiano, Riguzzi, Fabrizio
When we want to compute the probability of a query from a Probabilistic Answer Set Program, some parts of a program may not influence the probability of a query, but they impact on the size of the grounding. Identifying and removing them is crucial t
Externí odkaz:
http://arxiv.org/abs/2408.07524
Autor:
Riguzzi, Fabrizio
We consider the problems of weighted constrained sampling and weighted model counting, where we are given a propositional formula and a weight for each world. The first problem consists of sampling worlds with a probability proportional to their weig
Externí odkaz:
http://arxiv.org/abs/2407.12816
The prevailing approaches in Network Intrusion Detection Systems (NIDS) are often hampered by issues such as high resource consumption, significant computational demands, and poor interpretability. Furthermore, these systems generally struggle to ide
Externí odkaz:
http://arxiv.org/abs/2406.00938
The necessity to manage inconsistency in Description Logics Knowledge Bases (KBs) has come to the fore with the increasing importance gained by the Semantic Web, where information comes from different sources that constantly change their content and
Externí odkaz:
http://arxiv.org/abs/2306.09138