Search Results for author:
Found 4 papers, 0 papers with code
Integrated Time Series Summarization and Prediction Algorithm and its Application to COVID-19 Data Mining
Thereby, a sequence of labels is assigned for each time series.
A posteriori Trading-inspired Model-free Time Series Segmentation
Benefits of proposed approach include simplicity, adaptability to a wide range of different shapes of time series, and in particular computational efficiency that make it suitable for big data.
Encoding Motion Primitives for Autonomous Vehicles using Virtual Velocity Constraints and Neural Network Scheduling
It is distinguished between 5 core aspects: system model, network architecture, training algorithm, training tasks selection and hardware/software implementation.
Automating Vehicles by Deep Reinforcement Learning using Task Separation with Hill Climbing
Within the context of autonomous driving a model-based reinforcement learning algorithm is proposed for the design of neural network-parameterized controllers.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
