Results 11 to 20 of about 25,488 (167)
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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Statistical Relational Learning with Soft Quantifiers [PDF]
, 2016 Quantification in statistical relational learning (SRL) is either existential or universal, however humans might be more inclined to express knowledge using soft quantifiers, such as “most” and “a few”. In this paper, we define the syntax and semantics of PSL\(^Q\), a new SRL framework that supports reasoning with soft quantifiers, and present its most
Golnoosh Farnadi +5 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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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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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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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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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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Frontiers in Psychology, 2023 IntroductionWith the continuous expansion of higher education worldwide, the academic performance of first-generation college students has become an essential topic in the scope of international educational research.
Xiaojing Li, Weitong Liu, Ke Hu
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Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures
Information, 2022 In recent years, skin cancer diagnosis has been aided by the most sophisticated and advanced machine learning algorithms, primarily implemented in the spatial domain.
Premaladha Jayaraman +6 more
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Statistical learning is related to early literacy-related skills [PDF]
Reading and Writing, 2014 It has been demonstrated that statistical learning, or the ability to use statistical information to learn the structure of one's environment, plays a role in young children's acquisition of linguistic knowledge. Although most research on statistical learning has focused on language acquisition processes, such as the segmentation of words from fluent ...
Mercedes, Spencer +3 more
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