https://bulletin.temple.edu/undergraduate/media-communication/communication-studies-communication-entrepreneurship-ba/
Annenberg Hall, Room 9C 215-204-6603 khence@temple.edu Learn more about the Bachelor of Arts in Communication Studies. These requirements are for students who matriculated in academic year 2025-2026. Students who matriculated prior to fall 2025 should refer to the Archives to view the requirements for their Bulletin year.
https://tuportal5.temple.edu/
Id Name Url Category TUportal My Schools & Colleges Information Technology Services TUportal6 RedirectToGroupHome_ Hidden
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/~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.
https://cis.temple.edu/~latecki/Courses/CIS166-Fall06/Lectures/ch8.3-8.4.ppt
Isomorphism of Graphs Definition: The simple graphs G1 = (V1, E1) and G2 = (V2, E2) are isomorphic if there is a bijection (an one-to-one and onto function) f from V1 to V2 with the property that a and b are adjacent in G1 if and only if f(a) and f(b) are adjacent in G2, for all a and b in V1.
https://cis.temple.edu/~giorgio/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://scholarshare.temple.edu/server/api/core/bitstreams/5f8a9579-d279-412d-88f3-744d54fdbdad/content
E1,humanizedmiceinfectedwithHIV-1(controls); E2,HIV-1infectedanimals treatedonlywithCRISPR-Cas9; E3,HIV-1infectedLASERARTtreatedanimalsdemonstratingviralreboundaftercessationoftherapy; E4,infectedanimals treatedwithLASERARTfollowedbyCRISPR-Cas9.
https://cis.temple.edu/~latecki/Courses/CIS2166-Fall14/StrangMatrixAlg/ila0403.pdf
By calculus Most functions are minimized by calculus! The graph bottoms out and the derivative in every direction is zero. Here the error function E to be minimized is a sum of squares e2 C e2 C e2 (the square of the error in each equation): 2 3
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/GreatMatrixIntro.pdf
r„[’(x;„)]=’(x;„)¢Vx¡1(x¡„)(15:40b) Example13. Considerobtainingtheleast-squaressolutionforthegenerallinear model,y = Xfl+ e, where we wish to find the value of that minimizes the residual error givenyandX. In matrix form, Xn i=1 e2 i= e Te =(y¡Xfl)T(y¡xfl) =yTy¡flXTy¡yTXfl+flXTXfl =yTy¡2flXTy+flXTXfl
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.