Results 281 to 290 of about 224,550 (312)
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Probabilistic Planning in Hybrid Probabilistic Logic Programs

2007
In this paper, we present a new approach to probabilistic planning based on logic programming, by relating probabilistic planning to hybrid probabilistic logic programs with probabilistic answer set semantics [32]. We show that any probabilistic planning problem, $\cal P$, can be translated into a hybrid probabilistic logic program whose probabilistic ...
openaire   +1 more source

Deep probabilistic logic programming

2017
Probabilistic logic programming under the distribution semantics has been very useful in machine learning. However, inference is expensive so machine learning algorithms may turn out to be slow. In this paper we consider a restriction of the language called hierarchical PLP in which clauses and predicates are hierarchically organized.
NGUEMBANG FADJA, Arnaud   +2 more
openaire   +1 more source

Modeling Smart Contracts with Probabilistic Logic Programming

Business Information Systems, 2020
Damiano Azzolini   +2 more
semanticscholar   +1 more source

Probabilistic Databases and Logic Programming

2001
Uncertainty occurs in the world in many ways. For instance, image processing programs identify the content of images with some levels of uncertainty. Prediction programs predict when events will occur with certain probabilities. In this tutorial, I will focus on probabilistic methods to handle uncertainty.
openaire   +1 more source

A Comparison of MCMC Sampling for Probabilistic Logic Programming

International Conference of the Italian Association for Artificial Intelligence, 2019
Damiano Azzolini   +3 more
semanticscholar   +1 more source

Logic-in-memory based on an atomically thin semiconductor

Nature, 2020
Guilherme Migliato Marega   +2 more
exaly  

Gallium nitride-based complementary logic integrated circuits

Nature Electronics, 2021
Zheyang Zheng, Li Zhang, Han Xu
exaly  

Current-driven magnetic domain-wall logic

Nature, 2020
Zhaochu Luo   +2 more
exaly  

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