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Machine Learning of Spatial Data [PDF]
ISPRS International Journal of Geo-Information, 2021 Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to handle them in machine learning applications are lagging behind. In this survey of the literature, we seek
Behnam Nikparvar +2 more
exaly +3 more sources
Probiotic supplementation prevents stress-impaired spatial learning and enhances the effects of environmental enrichment [PDF]
Frontiers in MicrobiomesProbiotics are live microorganisms that offer health benefits, influencing the microbiota-gut-brain axis. Probiotics can improve cognitive functions, including learning and memory, by modulating the gut microbiota, reducing inflammation, and producing ...
Cassandra M. Flynn +2 more
doaj +2 more sources
Comparing Immersive and Non-Immersive VR: Effects on Spatial Learning and Aesthetic Experience in Museum Settings [PDF]
Brain SciencesBackground/Objectives: The use of virtual reality (VR) solutions in design has rapidly increased globally. However, it remains unclear to what extent these technologies enhance people’s cognitive abilities.
Laura Piccardi +9 more
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Could Spatial Learning in the Early Stages of Life Consistently Affect the Long-Term Memory of Leopard Geckos (Eublepharis macularius)? [PDF]
Animals(1) Background: This study investigates the development of spatial navigation and long-term memory in the leopard gecko (Eublepharis macularius) to address gaps in understanding reptilian cognitive ontogeny.
Aleksandra Chomik +5 more
doaj +2 more sources
Variable Selection and Allocation in Joint Models via Gradient Boosting Techniques
Mathematics, 2023 Modeling longitudinal data (e.g., biomarkers) and the risk for events separately leads to a loss of information and bias, even though the underlying processes are related to each other.
Colin Griesbach +2 more
doaj +1 more source
eLife, 2023 As we learn, dynamic memory processes build structured knowledge across our experiences. Such knowledge enables the formation of internal models of the world that we use to plan, make decisions, and act.
Corey Fernandez +4 more
doaj +1 more source
Effectively learning spatial indices [PDF]
Proceedings of the VLDB Endowment, 2020 Machine learning, especially deep learning, is used increasingly to enable better solutions for data management tasks previously solved by other means, including database indexing. A recent study shows that a neural network can not only learn to predict the disk address of the data value associated with a one-dimensional search key but also outperform ...
Qi, Jianzhong +3 more
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Frontiers in Virtual Reality, 2022 The frequent use of GPS-based navigation assistance is found to negatively affect spatial learning. Displaying landmarks effectively while providing wayfinding instructions on such services could facilitate spatial learning because landmarks help ...
Bingjie Cheng +4 more
doaj +1 more source
Learned Spatial Data Partitioning
Proceedings of the Sixth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, 2023 Due to the significant increase in the size of spatial data, it is essential to use distributed parallel processing systems to efficiently analyze spatial data. In this paper, we first study learned spatial data partitioning, which effectively assigns groups of big spatial data to computers based on locations of data by using machine learning ...
Keizo Hori +4 more
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Biomolecules, 2021 Chronic sensitization to serotonin 1A and 7 receptors agonist 8-OH-DPAT induces compulsive checking and perseverative behavior. As such, it has been used to model obsessive-compulsive disorder (OCD)-like behavior in mice and rats.
Martina Janikova +5 more
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