Statistical Relational Learning With Unconventional String Models [PDF]
Frontiers in Robotics and AI, 2018 This paper shows how methods from statistical relational learning can be used to address problems in grammatical inference using model-theoretic representations of strings.
Mai H. Vu +5 more
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Predicting virus mutations through statistical relational learning. [PDF]
BMC Bioinformatics, 2014 Abstract Background Viruses are typically characterized by high mutation rates, which allow them to quickly develop drug-resistant mutations. Mining relevant rules from mutation data can be extremely useful to understand the virus adaptation mechanism and to design drugs that effectively counter potentially resistant ...
Cilia E +4 more
europepmc +7 more sources
A causal discovery-based adaptive fusion algorithm for multi-source heterogeneous knowledge graphs [PDF]
Scientific ReportsMulti-source heterogeneous knowledge graph fusion faces significant challenges due to schema heterogeneity, entity conflicts, and relationship inconsistencies across different knowledge sources.
Ting Wang
doaj +2 more sources
Relational agency and relational people management: evidence from Uganda’s micro and small enterprises [PDF]
Asia Pacific Journal of Innovation and Entrepreneurship, 2022 Purpose – This paper aims to investigate whether relational agency fosters relational people management using evidence from micro and small enterprises in Uganda, an African developing country.
Grace Nalweyiso +5 more
doaj +1 more source
Learning and reasoning with graph data
Frontiers in Artificial Intelligence, 2023 Reasoning about graphs, and learning from graph data is a field of artificial intelligence that has recently received much attention in the machine learning areas of graph representation learning and graph neural networks.
Manfred Jaeger
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Integration of grey analysis with artificial neural network for classification of slope failure [PDF]
E3S Web of Conferences, 2021 With the advent of technology and the introduction of computational intelligent methods, the prediction of slope failure using the machine learning (ML) approach is rapidly growing for the past few decades.
Deris Ashanira Mat +2 more
doaj +1 more source
Logic + probabilistic programming + causal laws
Royal Society Open Science, 2023 Probabilistic planning attempts to incorporate stochastic models directly into the planning process, which is the problem of synthesizing a sequence of actions that achieves some objective for a putative agent.
Vaishak Belle
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Technological capability, relational capability and firms’ performance: The role of learning capability [PDF]
REGE Revista de Gestão, 2020 Purpose – The purpose of this paper is to empirically evaluate the mediating role of learning capability on the relationship between technological capability, relational capability and small and medium enterprises (SMEs) performance in developing economy
Yakubu Salisu, Lily Julienti Abu Bakar
doaj +1 more source
The effects of testing the relationships among relational concepts
Cognitive Research, 2022 Many concepts are defined by their relationships to one another. However, instructors might teach these concepts individually, neglecting their interconnections.
Daniel Corral +2 more
doaj +1 more source
OpinionMine: A Bayesian-based framework for opinion mining using Twitter Data
Machine Learning with Applications, 2021 This article studies opinion mining from social media with probabilistic logic reasoning. As it is known, Twitter is one of the most active social networks, with millions of tweets sent daily, where multiple users express their opinion about traveling ...
Stefanos Zervoudakis +3 more
doaj +1 more source