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...
Abstract. Malware attacks necessitate extensive forensic analysis efforts that are manual-labor intensive because of the analysis-resistance techniques that malware authors employ....
Abstract. We present a mathematical model for a study of the mechanical properties of endovascular stents in their expanded state. The model is based on the theory of slender curve...
Josip Tambaca, M. Kosor, Suncica Canic, D. Paniagu...
Abstract—In this letter, we propose an extension of the probabilistic tree pruning sphere decoding (PTP-SD) algorithm that provides further improvement of the computational compl...
Abstract—In this paper, we propose a spectrally efficient cooperative transmission protocol for multiple access scenarios. The key feature is to utilize multi-user diversity and...
Zhiguo Ding, Kin K. Leung, Dennis Goeckel, Donald ...