https://cis.temple.edu/~latecki/Courses/CIS166-05/Lectures/graph.ppt
Start at c and take a walk: {c,d}, {d,e}, {e,c} a b c d e f “Splice” the circuits in the 2 graphs: {a,b}, {b,c}, {c,f}, {f,a} “+” {c,d}, {d,e}, {e,c} “=“ {a,b}, {b,c}, {c,d}, {d,e}, {e,c}, {c,f} {f,a} 0 0 0 e 1 0 0 d 1 1 0 c 0 0 0 f 0 1 1 b 0 0 1 a e3 e2 e1 a b c d e f e1 e2 e3 e4 e5 e6 e7 0 0 1 1 0 0 0 1 0 1 1 0 1 1 0 0 0 0 0 0 1 0 ...
https://cis.temple.edu/~wu/research/publications/Publication_files/10_bare_jrnl_compsoc.pdf
6.1 Basic Setting at runs a Linux operating system with E5-2620 CPU, NVIDIA RTX5000 GPU, 128Gb memory, and a 2Tb hard disk. We choose the Social LSTM model to predict the future trajectories of users which can achieve an average accuracy of over 70%. We used
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring12/ElementaryProbabilityforApplications/ch3.pdf
Another way of saying this is that if we ignore the outcomes that result in a sum other than 5 or 7, we reduce the sample space from Ω to E = E5 ∪ E7 and the distribution of the first outcome that lands in E follows the conditional probability P(·|E).
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
2 Power of background noise -95 Bm Size of requested contents [0.5, 1.5] MB 2.4GHz Intel Xeon E5-2650 processor and 256GB RAM. The main parameters are listed in Table II. For performance comparison, the following four bench-mark caching methods are introduced: