Essays about: "bayesian network"
Showing result 21 - 25 of 131 essays containing the words bayesian network.
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21. 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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22. Path Choice Estimation in Urban Rails : Asimulation based optimisation for frequency-based assignment model
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Transit system have a large importance in modern urban cities, with urban rail often acting as the central system with it efficient travel time and great capacity. As cities grow in population, so to does the usage of urban rail resulting in increased crowding on the platform and in the trains. READ MORE
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23. 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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24. 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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25. 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