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://guides.temple.edu/groundedtheory/groundedtheory
Grounded Theory is about "how the discovery of theory from data - systemically obtained and analyzed in social research - can be furthered." In opposition to the top down theory verification approach, "grounded theory" is the "discovery of theory from data." It is "a general method of comparative analysis." (Glaser and Strauss, 1967, p. 1). What is produced from Grounded Theory aims to provide ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Reinforcement_Learning-based_Dual-Identity_Double_Auction_in_Personalized_Federated_Learning.pdf
Similarly, G2 is divided into multiple b trees G2,j. A tree G2,j = {V 2,j, {j}, E2,j} has a single seller j as the root and multiple buyers as leaves. We add a virtual buyer 0 to each tree. Its bid price b0j is amax b th . Set V 2,j includes the buyers connected to j in G2 and buyer 0. Let q = argmini∈V
https://cst.temple.edu/sites/cst/files/theses1/bao.pdf
Note that in the case p = 2, an explicit basis of M2k( 0(2)) is given by f(E 2)aEb 4j2a + 4b = 2kg; where E 2(z) = E2(z) 2E(2z) and E2(z); E4(z) is Eisenstein series of weight 2 and 4 respectively (see page 56 of [14]). One checks that S10( 0(2)) is one dimensional and the Fourier expansion of
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/~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://faculty.cst.temple.edu/~szyld/reports/randCholQR_rev2_report.pdf
Only the trian-gular factor ˆR is needed, so some (exactly) orthogonal Qtmp exists such that Qtmp ˆR = ˆW + E2 = S2S1V + E1 + E2. (17) Analysis of E2 is provided in Section 5.2.4. In step 3, solving the triangular system Q ˆR = V also creates errors. These are analyzed in a row-wise fashion in Section 5.2.5, taking the form
https://medicine.temple.edu/departments-centers/clinical-departments/surgery/departmental-research/faculty-research/bariatric-surgery
J Vasc Surg Venous Lymphat Disord. 2021 May;9 (3):585-591.e2. doi: 10.1 0l 6/j.jvsv.2020.09.006 Gasoyan H, Soans RS, Ibrahim JK, Aaronson WE, Sarwer DB. Association between insurance-mandated precertification criteria and inpatient healthcare utilization during 1 year after bariatric surgery.
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://sites.temple.edu/pdames/files/2016/07/DamesTokekarKumarISRR2015.pdf
Let Xt = fx1;t;x2;t;:::;xnt;tg denote a realization of a RFS of target states at time t. A probability distribution of a RFS is characterized by a discrete distribution over the cardinality of the set and a family of densities for the elements of the set conditioned on the size, i.e.,