Zobrazeno 1 - 10
of 1 387
pro vyhledávání: '"Park Joseph"'
Effective control requires knowledge of the process dynamics to guide the system toward desired states. In many control applications this knowledge is expressed mathematically or through data-driven models, however, as complexity grows obtaining a sa
Externí odkaz:
http://arxiv.org/abs/2311.17324
Autor:
Park, Joseph1,2 (AUTHOR) JosephPark@IEEE.org, Sugihara, George1 (AUTHOR), Pao, Gerald2 (AUTHOR)
Publikováno v:
PLoS ONE. 8/1/2024, Vol. 19 Issue 8, p1-18. 18p.
Autor:
Bakaloudi, Dimitra Rafailia, Talukder, Rafee, Makrakis, Dimitrios, Diamantopoulos, Leonidas, Enright, Thomas, Leary, Jacob B., Patgunarajah, Ubenthira, Thomas, Vinay M., Swami, Umang, Agarwal, Neeraj, Jindal, Tanya, Koshkin, Vadim S., Brown, Jason R., Barata, Pedro, Murgić, Jure, Miletić, Marija, Johnson, Jeffrey, Zakharia, Yousef, Hui, Gavin, Drakaki, Alexandra, Duran, Ignacio, Buznego, Lucia A., Barrera, Rafael M., Castañeda, David M., Rey-Cárdenas, Macarena, Castellano, Daniel, Nguyen, Charles B., Park, Joseph J., Alva, Ajjai, McKay, Rana R., Stewart, Tyler F., Epstein, Ilana B., Bellmunt, Joaquim, Wright, Jonathan L., Gupta, Shilpa, Grivas, Petros, Khaki, Ali Raza
Publikováno v:
In Clinical Genitourinary Cancer December 2024 22(6)
Autor:
Rendel, Miriam Daphne, Vitali, Cecilia, Creasy, Kate Townsend, Zhang, David, Scorletti, Eleonora, Huang, Helen, Seeling, Katharina Sophie, Park, Joseph, Hehl, Leonida, Vell, Mara Sophie, Conlon, Donna, Hayat, Sikander, Phillips, Michael C., Schneider, Kai Markus, Rader, Daniel J., Schneider, Carolin Victoria
Publikováno v:
In Med 9 August 2024 5(8):963-980
Autor:
Pao, Gerald M, Smith, Cameron, Park, Joseph, Takahashi, Keichi, Watanakeesuntorn, Wassapon, Natsukawa, Hiroaki, Chalasani, Sreekanth H, Lorimer, Tom, Takano, Ryousei, Rungratsameetaweemana, Nuttida, Sugihara, George
We propose an algorithm grounded in dynamical systems theory that generalizes manifold learning from a global state representation, to a network of local interacting manifolds termed a Generative Manifold Network (GMN). Manifolds are discovered using
Externí odkaz:
http://arxiv.org/abs/2106.10627
Publikováno v:
In Advances in Oncology May 2024 4(1):185-198