Results 21 to 30 of about 273,034 (301)
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
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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
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Bridging Weighted Rules and Graph Random Walks for Statistical Relational Models
Frontiers in Robotics and AI, 2018 The aim of statistical relational learning is to learn statistical models from relational or graph-structured data. Three main statistical relational learning paradigms include weighted rule learning, random walks on graphs, and tensor factorization ...
Seyed Mehran Kazemi, David Poole
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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
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A comparative study of supervised machine learning approaches for slope failure production [PDF]
E3S Web of Conferences, 2021 Over the years, machine learning, which is a well-known method in artificial intelligent (AI) field has become a new trend and extensively applied in various applications to solve a realworld problem. This includes slope failure prediction. Slope failure
Deris Ashanira Mat +2 more
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Symbolic Learning and Reasoning With Noisy Data for Probabilistic Anchoring
Frontiers in Robotics and AI, 2020 Robotic agents should be able to learn from sub-symbolic sensor data and, at the same time, be able to reason about objects and communicate with humans on a symbolic level.
Pedro Zuidberg Dos Martires +5 more
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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 ...
Rettinger, Achim +2 more
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iRASD Journal of Management, 2020 Recently, product development and its performance are the essential elements for the business organization that could enhance the firm performance and attains researchers' intentions. Therefore, the present study examines the impact of human, structural
Ataul Karim Patwary, Fauzan Fauzan
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British Educational Research Journal, EarlyView., 2023 Abstract Children's relationship with time in preschools is an under‐researched area. Young children rarely know how to measure time using a clock, but their experiences of time may contribute to understanding children's well‐being and debates about quality in preschools.
Kristín Dýrfjörð +3 more
wiley +1 more source
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
Frontiers in Big Data, 2020 Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks.
Andrea Galassi +4 more
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