Results 41 to 50 of about 1,042,976 (291)

A probabilistic dynamic logic

open access: yesProceedings of the fourteenth annual ACM symposium on Theory of computing, 1982
This paper defines a formal logic PrDL whose syntax derives from Pratt's first-order dynamic logic and whose semantics is an extension of Kozen's for probabilistic programs. An axiom system for PrDL is given and shown to be complete relative to an extension of first-order analysis.
Yishai A. Feldman, David Harel
openaire   +3 more sources

Optimizing Probabilities in Probabilistic Logic Programs

open access: yes, 2021
Probabilistic logic programming is an effective formalism for encoding problems characterized by uncertainty. Some of these problems may require the optimization of probability values subject to constraints among probability distributions of random ...
Riguzzi F., Azzolini D.
core   +1 more source

Performance analysis of probabilistic timed automata using digital clocks [PDF]

open access: yes, 2006
Probabilistic timed automata, a variant of timed automata extended with discrete probability distributions, is a modelling formalism suitable for describing formally both nondeterministic and probabilistic aspects of real-time systems, and is amenable to
Kwiatkowska, M.   +4 more
core   +1 more source

Probabilistic-Input, Noisy Conjunctive Models for Cognitive Diagnosis

open access: yesFrontiers in Psychology, 2018
Existing cognitive diagnosis models conceptualize attribute mastery status discretely as either mastery or non-mastery. This study proposes a different conceptualization of attribute mastery as a probabilistic concept, i.e., the probability of mastering ...
Peida Zhan   +3 more
doaj   +1 more source

Probabilistic Logics and Probabilistic Networks

open access: yes, 2011
While in principle probabilistic logics might be applied to solve a range of problems, in practice they are rarely applied at present. This is perhaps because they seem disparate, complicated, and computationally intractable. However, we shall argue in this programmatic paper that several approaches to probabilistic logic into a simple unifying ...
Romeijn, J.W.   +3 more
openaire   +3 more sources

Probability-Based Centralized Device for Spectrum Handoff in Cognitive Radio Networks

open access: yesIEEE Access, 2019
Wireless communication technology is the future of communication, but rapid growth in wireless technology has led to a scarcity in the spectrum. Thus, the world has moved away from fixed spectrum allocation to dynamic spectrum allocation. Cognitive radio
Manav Aggarwal   +5 more
doaj   +1 more source

On-Line Surface Roughness Prediction by Using a Probabilistic Approach for End-Milling

open access: yesIEEE Access, 2019
An effective and efficient methodology is proposed to predict surface roughness by online monitoring of surface quality using accelerometer signals. A probabilistic approach, Monte Carlo Simulation, was researched and developed to create an automated ...
Oguz Kayabasi, Senol Erturk
doaj   +1 more source

Numerical Markov Logic Network: A Scalable Probabilistic Framework for Hybrid Knowledge Inference

open access: yesInformation, 2021
In recent years, the Markov Logic Network (MLN) has emerged as a powerful tool for knowledge-based inference due to its ability to combine first-order logic inference and probabilistic reasoning.
Ping Zhong   +4 more
doaj   +1 more source

Integration of Reconfigurable p-Bit and 1R Crossbar Array for Memristive Probabilistic Computing. [PDF]

open access: yesAdv Sci (Weinh)
A memristive probabilistic computing system is demonstrated by integrating stochastic p‐bits based on volatile memristors with a 1R crossbar array encoding interaction weights. The system performs weighted‐sum operations across the array and updates p‐bits iteratively.
Soh K   +7 more
europepmc   +2 more sources

Relational Probabilistic Conditionals and Their Instantiations under Maximum Entropy Semantics for First-Order Knowledge Bases

open access: yesEntropy, 2015
For conditional probabilistic knowledge bases with conditionals based on propositional logic, the principle of maximum entropy (ME) is well-established, determining a unique model inductively completing the explicitly given knowledge.
Christoph Beierle   +2 more
doaj   +1 more source

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