Results 1 to 10 of about 25,488 (167)
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
doaj +5 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
doaj +1 more source
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
doaj +1 more source
Statistical relational learning of trust [PDF]
Machine Learning, 2010 The learning of trust and distrust is a crucial aspect of social interaction among autonomous, mentally-opaque agents. In this work, we address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several relations that exist between the agent to be ...
Achim Rettinger +2 more
openaire +2 more sources
A taxonomy of weight learning methods for statistical relational learning [PDF]
Machine Learning, 2021 AbstractStatistical relational learning (SRL) frameworks are effective at defining probabilistic models over complex relational data. They often use weighted first-order logical rules where the weights of the rules govern probabilistic interactions and are usually learned from data.
Sriram Srinivasan 0004 +4 more
openaire +1 more source
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
Soft quantification in statistical relational learning [PDF]
Machine Learning, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Golnoosh Farnadi +4 more
openaire +3 more sources
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