Essays about: "Gaussisk Process"
Showing result 6 - 10 of 17 essays containing the words Gaussisk Process.
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6. Deep Reinforcement Learning for Autonomous Highway Driving Scenario
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We present an autonomous driving agent on a simulated highway driving scenario with vehicles such as cars and trucks moving with stochastically variable velocity profiles. The focus of the simulated environment is to test tactical decision making in highway driving scenarios. READ MORE
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7. Machine Unlearning and hyperparameters optimization in Gaussian Process regression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The establishment of the General Data Protection Regulation (GDPR) in Europe in 2018, including the "Right to be Forgotten" poses important questions about the necessity of efficient data deletion techniques for trained Machine Learning models to completely enforce this right, since retraining from scratch such models whenever a data point must be deleted seems impractical. We tackle such a problem for Gaussian Process Regression and define in this paper an efficient exact unlearning technique for Gaussian Process Regression which completely include the optimization of the hyperparameters of the kernel function. READ MORE
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8. Machine Learning Based Intraday Calibration of End of Day Implied Volatility Surfaces
University essay from KTH/Matematisk statistikAbstract : The implied volatility surface plays an important role for Front office and Risk Management functions at Nasdaq and other financial institutions which require mark-to-market of derivative books intraday in order to properly value their instruments and measure risk in trading activities. Based on the aforementioned business needs, being able to calibrate an end of day implied volatility surface based on new market information is a sought after trait. READ MORE
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9. Phase-Out Demand Forecasting : Predictive modeling on forecasting product life cycle
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The phase-out stage in a product life cycle can face unpredictable demand. Accurate forecast of the phase-out demand can help supply chain managers to control the number of obsolete inventories. Consequently, having a positive effect in terms of resources and lower scrap costs. READ MORE
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10. Early-Stage Prediction of Lithium-Ion Battery Cycle Life Using Gaussian Process Regression
University essay from KTH/Matematisk statistikAbstract : Data-driven prediction of battery health has gained increased attention over the past couple of years, in both academia and industry. Accurate early-stage predictions of battery performance would create new opportunities regarding production and use. READ MORE
