Results 21 to 30 of about 1,001,660 (315)

Efficient learning of Bayesian networks with bounded tree-width [PDF]

open access: yes, 2017
Learning Bayesian networks with bounded tree-width has attracted much attention recently, because low tree-width allows exact inference to be performed efficiently.
Campos, Cassio P de   +6 more
core   +1 more source

Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey

open access: yesIEEE Open Journal of the Communications Society
In the fast-progressing field of wireless communications, the forthcoming 6G networks are expected to revolutionize the way we communicate, offering unparalleled speed, minimal latency, and seamless connectivity.
Afroditi Blika   +7 more
doaj   +1 more source

In-Cognitive: A web-based Python application for fuzzy cognitive map design, simulation, and uncertainty analysis based on the Monte Carlo method

open access: yesSoftwareX, 2023
Fuzzy Cognitive Mapping is a semi-quantitative modelling method, widely used for decision support in various domains. However, existing software applications have been criticised over inadequate handling of uncertain information, lack of accessibility ...
Themistoklis Koutsellis   +6 more
doaj   +1 more source

Entropy-based Pruning for Learning Bayesian Networks using BIC [PDF]

open access: yes, 2018
For decomposable score-based structure learning of Bayesian networks, existing approaches first compute a collection of candidate parent sets for each variable and then optimize over this collection by choosing one parent set for each variable without ...
Scanagatta, Mauro   +9 more
core   +1 more source

RETROFIT-LAT: A comprehensive dataset for energy efficiency investments in Latvia [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]

open access: yesOpen Research Europe
This article presents RETROFIT-LAT: a collection of data from 1010 residential building projects, funded by the Republic of Latvia’s Environmental Investment Fund (LEIF).
Askounis Dimitris   +5 more
doaj   +1 more source

Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models

open access: yesApplied Sciences, 2023
Energy efficiency financing is considered among the top priorities in the energy sector among several stakeholders. In this context, accurately estimating the energy savings achieved by energy efficiency actions before being approved and implemented is ...
Elissaios Sarmas   +4 more
doaj   +1 more source

Graph Modification Problems (Dagstuhl Seminar 14071) [PDF]

open access: yes, 2014
This report documents the program and the outcomes of Dagstuhl Seminar 14071 "Graph Modification Problems". The seminar was held from February 9 to February 14, 2014.
Lokshtanov, Daniel   +6 more
core   +1 more source

Joint Analysis of Multiple Algorithms and Performance Measures [PDF]

open access: yes, 2017
There has been an increasing interest in the development of new methods using Pareto optimality to deal with multi-objective criteria (for example, accuracy and time complexity). Once one has developed an approach to a problem of interest, the problem is
Cassio P. de Campos   +6 more
core   +1 more source

Industrial Statistics Revisited: From Footnotes to Meta-Information Management

open access: yesAustrian Journal of Statistics, 2016
UNIDO maintains a long tradition in the compilation of international statistics on industrial production and, particularly, has developed a suite of tools and techniques for improving third-party data, mainly supplied directly or indirectly by National ...
Karl A. Froeschl   +2 more
doaj   +1 more source

Decision Support Systems [PDF]

open access: yes, 2018
The current decision-making problems is more complex than it was in the past, prompting the need for decision support. Most real-world decision-making situations are subject to bounded rationality; whereby the technical and economic evaluation of all ...
Samali, Bijan   +7 more
core   +2 more sources

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