Results 61 to 70 of about 274,696 (183)
Graphic Symbol Recognition using Graph Based Signature and Bayesian Network Classifier
, 2009 We present a new approach for recognition of complex graphic symbols in technical documents. Graphic symbol recognition is a well known challenge in the field of document image analysis and is at heart of most graphic recognition systems. Our method uses
Brouard, Thierry +2 more
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Functional brain network architecture supporting the learning of social networks in humans
, 2019 Most humans have the good fortune to live their lives embedded in richly structured social groups. Yet, it remains unclear how humans acquire knowledge about these social structures to successfully navigate social relationships.
Bassett, Danielle S. +4 more
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Frontiers in PsychologyWhether parental educational expectations for adolescents serve as a source of motivation or stress depends on the extent to which adolescents hold expectations for themselves.
Youzhi Song +12 more
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How Artificial Intelligence Enriches the Traditional Data Science Toolbox in Finance [PDF]
ITM Web of ConferencesWith the continuous growth of the scale, heterogeneity and dynamics of financial data, traditional statistical and machine learning methods have gradually shown deficiencies in feature-engineering dependence, nonlinear modeling and stability in rapidly ...
Cui Cheng
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Frontiers in EducationIntroductionInclusion is a universal right and a fundamental pillar of education. However, current educational models often overlook the relational nature of students, failing to address this social challenge effectively.
Carlos Mallén-Lacambra +1 more
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Interactive Game-Based Multimedia Design Grounded in Mayer’s Principles for Enhancing Social Behavior in Primary School Children: A Technology-Oriented Approach [PDF]
Interdisciplinary Journal of Virtual Learning in Medical SciencesBackground: Fostering social behavior in primary school children is essential for their social, emotional, and cognitive development. Multimedia interventions grounded in Mayer’s cognitive theory of multimedia learning offer promising approaches to ...
Somayeh Abedi +2 more
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RelNN: A Deep Neural Model for Relational Learning
, 2017 Statistical relational AI (StarAI) aims at reasoning and learning in noisy domains described in terms of objects and relationships by combining probability with first-order logic.
Kazemi, Seyed Mehran, Poole, David
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MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model
Applied Sciences, 2019 Multi-Entity Bayesian Network (MEBN) is a knowledge representation formalism combining Bayesian Networks (BNs) with First-Order Logic (FOL). MEBN has sufficient expressive power for general-purpose knowledge representation and reasoning, and is the ...
Cheol Young Park +1 more
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Induction of Interpretable Possibilistic Logic Theories from Relational Data
, 2017 The field of Statistical Relational Learning (SRL) is concerned with learning probabilistic models from relational data. Learned SRL models are typically represented using some kind of weighted logical formulas, which make them considerably more ...
Davis, Jesse +2 more
core
A Systematic Evaluation Method of Graph-Derived Signals for Tabular Machine Learning
Applied SciencesWhile graph-derived signals are widely used in tabular learning, existing studies typically rely on limited experimental setups and average performance comparisons, leaving the statistical reliability and robustness of observed gains largely unexplored ...
Mario Heidrich +3 more
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