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Found 6 papers, 1 papers with code
Comparison of Microservice Call Rate Predictions for Replication in the Cloud
Today, many users deploy their microservice-based applications with various interconnections on a cluster of Cloud machines, subject to stochastic changes due to dynamic user requirements.
Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case
Industry 4. 0 and Internet of Things (IoT) technologies unlock unprecedented amount of data from factory production, posing big data challenges in volume and variety.
Hybrid Constructions of Binary Sequences with Low Autocorrelation Sidelobes
In this work, a classical problem of the digital sequence design, or more precisely, finding binary sequences with optimal peak sidelobe level (PSL), is revisited.
On the Generation of Long Binary Sequences with Record-Breaking PSL Values
Binary sequences are widely used in various practical fields, such as telecommunications, radar technology, navigation, cryptography, measurement sciences, biology or industry.
Urban Driving with Conditional Imitation Learning
As our main contribution, we present an end-to-end conditional imitation learning approach, combining both lateral and longitudinal control on a real vehicle for following urban routes with simple traffic.
Information-Directed Exploration for Deep Reinforcement Learning
Efficient exploration remains a major challenge for reinforcement learning.
