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London: J. Murray; 1859. Vaughan TG. IcyTree: rapid browser-based visualization for phylogenetic trees and networks. Bioinformatics. 2017;33:btx155. Kreft Ł, Botzki A, Coppens F, Vandepoele K, Van Bel M. PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics. 2017;33(18):2946 ...
https://cis.temple.edu/~ingargio/cis587/readings/rete.html
(R1 (has-goal ?x simplify) (expression ?x 0 + ?y) ==>....) (R2 (has-goal ?x simplify) (expression ?x 0 * ?y) ==>....) and the following facts: (has-goal e1 simplicity) (expression e1 0 + 3) (has-goal e2 simplicity) (expression e2 0 + 5) (has-goal e3 simplicity) (expression e3 0 * 2) Then the Rete is +----------+ | ENTRANCE | +----------+ x ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf
0 2 2 2 L1 + E 0G2 + E2 0G2 2 + 2 L2E2 0G2 2 + 2 Theorem 2. (Non-convex FedCPD convergence). 0 < e < 0, e 2 f1 1; 2; : : : ; Eg, where represents the de- 2; cay factor for the learning rate. If the learning rate for each epoch satisfies the following condition, the loss function de-creases monotonically, leading to convergence:
https://cis.temple.edu/~apal/ipic_food.pdf
t‘ ij 8‘2f2;:::;Tg;8t X t Lt‘:Vt C 8‘2f2;:::;Tg (8) where Vtis the volume of the container type t. Constraint(8) simply assumes that multiple containers of different sizes always fit within a truck as far as their cumulative volume is less than the truck’s capacity. This is an over-estimation of the packing ability of the containers.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Privacy-Preserving_Federated_Neural_Architecture_Search_With_Enhanced_Robustness_for_Edge_Computing.pdf
It enables a group of users to collaboratively train a shared global model [3] or multiple personalized models [12], [13], while keeping their local data private. Supposed that there are clients K = {e1, e2, . . . , e , and } each client k possesses a dataset k Nk {(xj, yj)} . In hori- e D := j=1
https://sites.temple.edu/ignatova/files/2024/08/abig5.pdf
dr (25) (26) for all t ≥ 0. We multiply both sides of the inequality by the integrating factor e2∫ 0 (s)ds er∫ t 1 = = erln
https://research.temple.edu/sites/research/files/media/document/Temple%20University%20Export%20Control%20Introduction%20.pdf
EXPORT To send or take controlled tangible items, software, or information out of the United States in any manner (including hand-carried), to transfer ownership or control of controlled tangible items, software, or information to a foreign person, or to disclose information about controlled items, software, or information to a foreign government or foreign person. The controlled tangible item ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf
For the energy consumption during the learning phase, we set e1 = 0.01J and e2 = 80J [18]. To better align with real-world data collection scenarios, we design fine-grained PoI data models from three perspectives: data distribution, data generation patterns, and data quality.
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf
For notation, tindicates the communication round and e2 1=2;1;2;:::;Erefers to the local iterations, where Eis the total number of local updates. Thus, tE+ erepresents the e-th local iteration in the (t+ 1)-th round.