Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Abstract. In this paper, we address two key trends in the synthesis of implementations for embedded multiprocessors — (1) the increasing importance of managing interprocessor com...
We have proposed (, )-based flow regulation to reduce delay and backlog bounds in SoC architectures, where bounds the traffic burstiness and the traffic rate. The regulation is co...
Fahimeh Jafari, Zhonghai Lu, Axel Jantsch, Mohamma...
We address the problem of query rewriting for TSL, a language for querying semistructured data. We develop and present an algorithm that, given a semistructured query q and a set ...