Results 31 to 40 of about 273,034 (301)
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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British Educational Research Journal, EarlyView., 2023 Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright +8 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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Developmental Cognitive Neuroscience, 2023 Using event-related potentials (ERPs), this study investigated how the brains of Chinese children of different ages extract and encode relational patterns contained in orthographic input. Ninety-nine Chinese children in Grades 1-3 performed an artificial
Shelley Xiuli Tong +4 more
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Function-Based Search of Place Using Theoretical, Empirical and Probabilistic Patterns
ISPRS International Journal of Geo-Information, 2019 Searching for places rather than traditional keyword-based search represents significant challenges. The most prevalent method of addressing place-related queries is based on place names but has limited potential due to the vagueness of natural language ...
Emmanuel Papadakis +3 more
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Statistical Relational Learning [PDF]
, 2013 Relational learning refers to learning from data that have a complex structure. This structure may be either internal (a data instance may itself have a complex structure) or external (relationships between this instance and other data elements). Statistical relational learning refers to the use of statistical learning methods in a relational learning ...
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Towards Multistrategic Statistical Relational Learning [PDF]
, 2010 Statistical Relational Learning (SRL) is a growing field in Machine Learning that aims at the integration of logic-based learning approaches with probabilistic graphical models. Markov Logic Networks (MLNs) are one of the state-of-the-art SRL models that combine first-order logic and Markov networks (MNs) by attaching weights to first-order formulas ...
BIBA M. +2 more
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Human-Guided Learning for Probabilistic Logic Models
Frontiers in Robotics and AI, 2018 Advice-giving has been long explored in the artificial intelligence community to build robust learning algorithms when the data is noisy, incorrect or even insufficient. While logic based systems were effectively used in building expert systems, the role
Phillip Odom, Sriraam Natarajan
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Connection Science, 2020 Similarity-based generalisation is fundamental to human cognition, and the ability to draw analogies based on relational similarities between superficially different domains is crucial for reasoning and inference.
Paul H. Thibodeau +2 more
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