Essays about: "surrogate functions"
Showing result 1 - 5 of 11 essays containing the words surrogate functions.
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1. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE
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2. Active Learning for Solving Expensive Optimization Problems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. READ MORE
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3. Explainability of Machine Learning in Forecasts for Retail Sales Campaigns
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Explainable artificial intelligence is a growing field which is becoming increasingly important as machine learning is more integrated in businesses and various functions in society. A rising concern is the lack of transparency in decision-making processes for a substantial number of machine learning models. READ MORE
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4. Survivability Prediction and Analysis using Interpretable Machine Learning : A Study on Protecting Ships in Naval Electronic Warfare
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Computer simulation is a commonly applied technique for studying electronic warfare duels. This thesis aims to apply machine learning techniques to convert simulation output data into knowledge and insights regarding defensive actions for a ship facing multiple hostile missiles. READ MORE
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5. Fantastic spiking neural networks and how to train them
University essay fromAbstract : Spiking neural networks are a new generation of neural networks that use neuronal models that are more biologically plausible than the typically used perceptron model. They do not use analog values to perform computations, as is the case in regular neural networks, but rely on spatio-temporal information encoded into sequences of delta-functions known as spike trains. READ MORE
