Zobrazeno 1 - 10
of 1 019
pro vyhledávání: '"Duong, The H."'
In this paper, we study the problem of cost optimisation of individual-based institutional incentives (reward, punishment, and hybrid) for guaranteeing a certain minimal level of cooperative behaviour in a well-mixed, finite population. In this schem
Externí odkaz:
http://arxiv.org/abs/2402.07663
A procedure for model reduction of stochastic ordinary differential equations with additive noise was recently introduced in [Colangeli-Duong-Muntean, Journal of Physics A: Mathematical and Theoretical, 2022], based on the Invariant Manifold method a
Externí odkaz:
http://arxiv.org/abs/2304.00307
In this paper, we consider the replicator-mutator dynamics for pairwise social dilemmas where the payoff entries are random variables. The randomness is incorporated to take into account the uncertainty, which is inevitable in practical applications
Externí odkaz:
http://arxiv.org/abs/2303.16558
Cost optimisation of hybrid institutional incentives for promoting cooperation in finite populations
In this paper, we rigorously study the problem of cost optimisation of hybrid (mixed) institutional incentives, which are a plan of actions involving the use of reward and punishment by an external decision-maker, for maximising the level (or guarant
Externí odkaz:
http://arxiv.org/abs/2212.08823
Autor:
Duong, M. H., Zimmer, J.
Markov chains are studied in a formulation involving forces and fluxes. First, the iso-dissipation force recently introduced in the physics literature is investigated; we show that its non-uniqueness is linked to different notions of duality giving r
Externí odkaz:
http://arxiv.org/abs/2210.03666
In this paper we study a second-order mean-field stochastic differential systems describing the movement of a particle under the influence of a time-dependent force, a friction, a mean-field interaction and a space and time-dependent stochastic noise
Externí odkaz:
http://arxiv.org/abs/2209.11967
Autor:
Hoff, Fieke W., Blum, William G., Huang, Ying, Welkie, Rina Li, Swords, Ronan T., Traer, Elie, Stein, Eytan M., Lin, Tara L., Archer, Kellie J., Patel, Prapti A., Collins, Robert H., Baer, Maria R., Duong, Vu H., Arellano, Martha L., Stock, Wendy, Odenike, Olatoyosi, Redner, Robert L., Kovacsovics, Tibor, Deininger, Michael W., Zeidner, Joshua F., Olin, Rebecca L., Smith, Catherine C., Foran, James M., Schiller, Gary J., Curran, Emily K., Koenig, Kristin L., Heerema, Nyla A., Chen, Timothy, Martycz, Molly, Stefanos, Mona, Marcus, Sonja G., Rosenberg, Leonard, Druker, Brian J., Levine, Ross L., Burd, Amy, Yocum, Ashley O., Borate, Uma M., Mims, Alice S., Byrd, John C., Madanat, Yazan F.
Publikováno v:
In Blood Advances 22 October 2024 8(20):5297-5305
Convolutional Neural Networks (CNNs) demonstrate excellent performance in various applications but have high computational complexity. Quantization is applied to reduce the latency and storage cost of CNNs. Among the quantization methods, Binary and
Externí odkaz:
http://arxiv.org/abs/2201.07634
Autor:
Duong, Linh H., Nguyen, Minh N.
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 5 July 2024 692
Autor:
Sanchez-Petitto, Gabriela, Goloubeva, Olga G., Masur, Jack, Childress, James, Iqbal, Tahreem, An, Max, Muhammad, Safwan, Lawson, Justin, Li, Grace, Barr, Brian, Emadi, Ashkan, Law, Jennie Y., Lee, Seung Tae, Duong, Vu H., Baer, Maria R., Niyongere, Sandrine
Publikováno v:
In Leukemia Research March 2024 138