Results 21 to 30 of about 275,882 (279)
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
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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Why deterministic logic is hard to learn but Statistical Relational Learning works [PDF]
, 2010 A brief note on why we think that the statistical relational learning framework is a great advancement over deterministic logic -- in particular in the context of model-based Reinforcement ...
Toussaint, Marc
core +1 more source
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 ...
openaire +2 more sources
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
openaire +2 more sources