Essays about: "sekventiell data"
Showing result 6 - 10 of 63 essays containing the words sekventiell data.
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6. Sequential Machine Learning in Material Science
University essay from KTH/Matematik (Avd.)Abstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE
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7. Benchmarking linear-algebra algorithms on CPU- and FPGA-based platforms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Moore’s law is the main driving factor behind the rapid evolution of computers that has been observed in the past 50 years. Though the law is soon ending due to heat- and sizing-related issues. One solution to continuing the evolution is utilizing alternative computer hardware, where parallel hardware is especially interesting. READ MORE
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8. Low Power Hardware Accelerator For Gated Recurrent Unit
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Neural Networks are a subset of Machine Learning which are designed to recognize patterns. Recurrent Neural Networks are an important part of AI (Artificial Intelligence) which allows for short term as well as long term dependencies to be captured. READ MORE
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9. Attention-based Multi-Behavior Sequential Network for E-commerce Recommendation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The original intention of the recommender system is to solve the problem of information explosion, hoping to help users find the content they need more efficiently. In an e-commerce platform, users typically interact with items that they are interested in or need in a variety of ways. For example, buying, browsing details, etc. READ MORE
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10. Continual Learning and Biomedical Image Data : Attempting to sequentially learn medical imaging datasets using continual learning approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : While deep learning has proved to be useful in a large variety of tasks, a limitation remains of needing all classes and samples to be present at the training stage in supervised problems. This is a major issue in the field of biomedical imaging since keeping samples in the training sets consistently is often a liability. READ MORE