Stream media content caching is a key enabling technology to promote the value chain of
future urban vehicular networks. Nevertheless, the high mobility of vehicles, intermittency of …

The development of a satisfying and rigorous mathematical understanding of the
performance of neural networks is a major challenge in artificial intelligence. Against this …

Combining machine learning and constrained optimization, Predict+ Optimize tackles
optimization problems containing parameters that are unknown at the time of solving. Prior …

Unsupervised extractive summarization is an important technique in information extraction
and retrieval. Compared with supervised method, it does not require high-quality human …

Artificial neural networks are at the heart of some of the greatest advances in modern
technology. They enable huge breakthroughs in applications ranging from computer vision …

The problem is considered of optimizing discrete parameters in the presence of constraints.
We use the stochastic sigmoid with temperature and put forward the new adaptive gradient …

Reinforcement Learning is a method of learning from the environment by constantly
observing it and evaluating its response to a set of actions. Long-term learning of a dynamic …

The proof of stake (POS) mechanism, which allows stakeholders to issue a block with a
probability proportional to their wealth instead of computational power, is believed to be an …