Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
CCured is a program transformation system that adds memory safety guarantees to C programs by verifying statically that memory errors cannot occur and by inserting run-time checks...
Jeremy Condit, Matthew Harren, Scott McPeak, Georg...
Delay management is an important issue in the daily operations of any railway company. The task is to update the planned timetable to a disposition timetable in such a way that the...
— This paper reverse-engineers backoff-based random-access MAC protocols in ad-hoc networks. We show that the contention resolution algorithm in such protocols is implicitly part...
Ao Tang, Jang-Won Lee, Jianwei Huang, Mung Chiang,...