Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …

Purpose In this era of technological advancement, the capabilities of devices and
telecommunications have changed the pattern of media consumption among consumers …

HTTP adaptive streaming (HAS) is the most recent attempt regarding video quality
adaptation. It enables cheap and easy to implement streaming technology without the need …

We present Park, a platform for researchers to experiment with Reinforcement Learning (RL)
for computer systems. Using RL for improving the performance of systems has a lot of …

The explosion in the variety and volume of video services makes bandwidth and latency
performance of networks more critical to the user experience. The media industry's …

Recent advances in unmanned aerial vehicle (UAV) technology have revolutionized a broad
class of civil and military applications. However, the designs of wireless technologies that …

Recently, Hypertext Transfer Protocol (HTTP)-based adaptive streaming has become the de
facto standard for video streaming over the Internet. It allows clients to dynamically adapt …

The increasing demand for video streaming services with a high Quality of Experience (QoE)
has prompted considerable research on client-side adaptation logic approaches. However …