In the telecommunications sector product development must minimise time to market while delivering high levels of dependability, availability, maintainability and scalability. High...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
File system traces have been used for years to analyze user behavior and system software behavior, leading to advances in file system and storage technologies. Existing traces, ho...
Implicit user feedback, including click-through and subsequent browsing behavior, is crucial for evaluating and improving the quality of results returned by search engines. Severa...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...