Essays about: "network selection algorithm"
Showing result 6 - 10 of 71 essays containing the words network selection algorithm.
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6. Stabilizing Side Effects of Experience Replay With Different Network Sizes for Deep Q-Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report investigates the effects of two different types of batch selection used for traininga Deep Reinforcement Learning agent in games. More specifically, the impact of thedifferent methods were tested for different sizes of Deep Neural Networks while using theDeep Q-Network (DQN) algorithm. READ MORE
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7. Consensus Algorithms in Blockchain : A survey to create decision trees for blockchain applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Blockchain is a decentralized database that is distributed among a computer network. To enable a smooth decision making process without any authority, different blockchain applications use their own consensus algorithms. The problem is that for a new blockchain application, there is limited aid in deciding which algorithm it should implement. READ MORE
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8. Imitation Learning on Branching Strategies for Branch and Bound Problems
University essay from KTH/Matematisk statistikAbstract : A new branch of machine and deep learning models has evolved in constrained optimization, specifically in mixed integer programming problems (MIP). These models draw inspiration from earlier solver methods, primarily the heuristic, branch and bound. READ MORE
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9. Reproducibility and Applicability of a Fuzzy-based Routing Algorithm in Wireless Sensor Networks
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Wireless sensor networks is a broad subject with many applications and interesting research areas, such as optimization within connectivity and energy efficiency. One problem is that most published articles in this field use customized simulation environments and do not provide source code of their implementation. READ MORE
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10. Anchor-free object detection in surveillance applications
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : Computer vision object detection is the task of detecting and identifying objects present in an image or a video sequence. Models based on artificial convolutional neural networks are commonly used as detector models. Object detection precision and inference efficiency are crucial for surveillance-based applications. READ MORE