Results 31 to 40 of about 181,566 (326)

Probabilistic Similarity Logic

, 2012
Many machine learning applications require the ability to learn from and reason about noisy multi-relational data. To address this, several effective representations have been developed that provide both a language for expressing the structural regularities of a domain, and principled support for probabilistic inference.
Matthias Bröcheler, Lilyana Mihalkova, Lise Getoor   +2 more
openalex   +4 more sources

Probabilistic logic with independence

International Journal of Approximate Reasoning, 2008
AbstractThis paper investigates probabilistic logics endowed with independence relations. We review propositional probabilistic languages without and with independence. We then consider graph-theoretic representations for propositional probabilistic logic with independence; complexity is analyzed, algorithms are derived, and examples are discussed ...
Cozman, Fabio Gagliardi, de Campos, Cassio Polpo, da Rocha, Jose Carlos Ferreira   +2 more
openaire   +4 more sources

Logic and Probabilistic Update [PDF]

, 2014
This chapter surveys recent work on probabilistic extensions of epistemic and dynamic-epistemic logics (the latter include the basic system of public announcement logic as well as the full product update logic). It emphasizes the importance of higher-order information as a distinguishing feature of these logics.
Demey, Lorenz, Kooi, Barteld
openaire   +3 more sources

Probabilistic-Input, Noisy Conjunctive Models for Cognitive Diagnosis

Frontiers 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, Wen-Chung Wang, Hong Jiao, Yufang Bian   +3 more
doaj   +1 more source

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

Information, 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, Zhanhuai Li, Qun Chen, Boyi Hou, Murtadha Ahmed   +4 more
doaj   +1 more source

An Algorithm for Probabilistic Alternating Simulation [PDF]

, 2012
In probabilistic game structures, probabilistic alternating simulation (PA-simulation) relations preserve formulas defined in probabilistic alternating-time temporal logic with respect to the behaviour of a subset of players. We propose a partition based
C. Baier, C. Zhang, D. Bustan, E.M. Clarke, K. Chatterjee, L. Alfaro de, L. Alfaro de, L. de Alfaro, L. Tan, L. Zhang, L. Zhang, L.S. Shapley, N. Karmakar, O. Grumberg, R. Alur, R. Alur, R. Gentilini, R. Segala, R.J. Glabbeek van, S. Cattani   +19 more
core   +3 more sources

A Probabilistic Logic of Cyber Deception [PDF]

IEEE Transactions on Information Forensics and Security, 2017
Malicious attackers often scan nodes in a network in order to identify vulnerabilities that they may exploit as they traverse the network. In this paper, we propose that the system generates a mix of true and false answers in response to scan requests. If the attacker believes that all scan results are true, then he will be on a wrong path.
Jajodia S, Park N, Pierazzi F, PUGLIESE, Andrea, Serra E, Simari GI, Subrahmanian VS   +6 more
openaire   +7 more sources

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

IEEE 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, T. Velmurugan, Marimuthu Karuppiah, Mohammad Mehedi Hassan, Ahmad Almogren, Walaa Nagy Ismail   +5 more
doaj   +1 more source

Probabilistic Logic Models for the Lightning Network

Cryptography, 2022
The Lightning Network (LN) has emerged as one of the prominent solutions to overcome the biggest limit of blockchain based on PoW: scalability. LN allows for creating a layer on top of an existing blockchain where users can send payments and micro ...
Damiano Azzolini, Fabrizio Riguzzi
doaj   +1 more source

Probabilistic Logics and Probabilistic Networks

, 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., Haenni, R., Wheeler, G., Williamson, J.   +3 more
openaire   +3 more sources