Essays about: "Bayesian Neural Network"
Showing result 16 - 20 of 69 essays containing the words Bayesian Neural Network.
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16. Data-driven Discovery of Real-time Road Compaction Parameters
University essay from KTH/Matematisk statistikAbstract : Road compaction is the last and important stage in road construction. Both under-compaction and over-compaction are inappropriate and may lead to road failures. Intelligent compactors has enabled data gathering and edge computing functionalities, which introduces possibilities in data-driven compaction control. READ MORE
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17. Exploring Column Update Elimination Optimization for Spike-Timing-Dependent Plasticity Learning Rule
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hebbian learning based neural network learning rules when implemented on hardware, store their synaptic weights in the form of a two-dimensional matrix. The storage of synaptic weights demands large memory bandwidth and storage. READ MORE
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18. Uncertainty quantification for neural network predictions
University essay from Umeå universitet/StatistikAbstract : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. READ MORE
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19. Assessing Machine Learning Algorithms to Develop Station-based Forecasting Models for Public Transport : Case Study of Bus Network in Stockholm
University essay from KTH/TransportplaneringAbstract : Public transport is essential for both residents and city planners because of its environmentally and economically beneficial characteristics. During the past decade climatechange, coupled with fuel and energy crises have attracted significant attention toward public transportation. READ MORE
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20. Role of Context in Episodic Memory : A Bayesian-Hebbian Neural Network Model of Episodic Recall
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Episodic memory forms a fundamental aspect of human memory that accounts for the storage of events as well as the spatio-temporal relations between events during a lifetime. These spatio-temporal relations in which episodes are embedded can be understood as their contexts. Contexts play a crucial role in episodic memory retrieval. READ MORE