Risultati della ricerca - distributed evolution (algorithm OR ((algorithmics OR algorithmicsics) OR Algorithmsssicicics))

A novel algorithm for GPU-accelerated particle-mesh interactions implemented in the QUOKKA code di He, Chong-Chong, Wibking, Benjamin D., Vijayan, Aditi, Krumholz, Mark R., Li, Pak Shing

Sommario: “... and multiple supernova remnant evolution at varying spatial resolutions. We show that the algorithm achieves...”
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Organism Evolution & Adaptation (D-OEAP) di Andrews, Ronald Jason

Sommario: “... in the distributed ecosystem. Classical evolutionary systems—biological natural selection, genetic algorithms...”
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The VMC Survey : LI. Classifying extragalactic sources using a probabilistic random forest supervised machine learning algorithm di Pennock, Clara M., van Loon, Jacco Th., Cioni, Maria-Rosa L., Maitra, Chandreyee, Oliveira, Joana M., Craig, Jessica E. M., Ivanov, Valentin D., Aird, James, Anih, Joy. O., Cross, Nicholas J. G., Dresbach, Francesca, de Grijs, Richard, Groenewegen, Martin A. T.

Sommario: “...We used a supervised machine learning algorithm (probabilistic random forest) to classify ~130...”
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Search for interacting galaxy clusters from SDSS DR-17 employing optimized friend-of-friend algorithm and multi-messenger tracers di Oak, Tejas, Paul, Surajit

Sommario: “... of the Universe as a 3-D filamentary network of dark-matter distribution called the cosmic web. Galaxy clusters...”
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⬛ XCPU Torus Engine — Black-Box Routed FPGA Checkpoint (DCP) Implementation di Ladislav Gradečak, Ladgrad

Sommario: “... prototype consists of a distributed network of interconnected processing elements. Interactions between...”
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Research on evolution and early warning model of network public opinion based on online Latent Dirichlet distribution model and BP neural network di Bao, Qiaozhi, Chen, Yanlin, Ji, Xusheng

Sommario: “... warning, based on the principles of indicator system construction and the characteristics and evolution...”
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Distributed computing quantum unitary evolution di Miao, Hui-hui, Ozhigov, Yuri Igorevich

Sommario: “... quantum system modeling, is discussed. With the help of Cannon's algorithm, the distributed computing...”
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An evolution of matrix-valued orthogonal polynomials di Koelink, Erik, Román, Pablo, Zudilin, Wadim

Sommario: “... been out of reach before: generating functions, distribution of zeros for individual entries...”
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Predicting sub-population specific viral evolution di Shi, Wenxian, Wu, Menghua, Barzilay, Regina

Sommario: “... propose a sub-population specific protein evolution model, which predicts the time-resolved distributions...”
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Multi-body dynamic evolution sequence-assisted PSO for interval analysis di Wu, Xuanlong, Zhong, Peng, Lin, Weihao

Sommario: “...When the exact probability distribution of input conditions cannot be obtained in practical...”
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Impact of local unfolding fluctuations on the evolution of regional sequence preferences in proteins di Keila Voortman‐Sheetz, James O. Wrabl, Vincent J. Hilser

Sommario: “...Impact of local unfolding fluctuations on the evolution of regional sequence preferences...”
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Continuous optimization by quantum adaptive distribution search di Morimoto, Kohei, Takase, Yusuke, Mitarai, Kosuke, Fujii, Keisuke

Sommario: “...In this paper, we introduce the quantum adaptive distribution search (QuADS), a quantum continuous...”
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Safety of particle filters: Some results on the time evolution of particle filter estimates di Gerber, Mathieu

Sommario: “...Particle filters (PFs) form a class of Monte Carlo algorithms that propagate over time a set of $N...”
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Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression di Miyatake, Yuto, Irie, Kaoru, Matsuda, Takeru

Sommario: “... for the $\log$-$χ^2_1$ distribution, enabling the development of an efficient Gibbs sampling algorithm...”
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Towards a theory of out-of-distribution learning di Dey, Jayanta, Geisa, Ali, Mehta, Ronak, Tomita, Tyler M., Helm, Hayden S., Xu, Haoyin, Eaton, Eric, Dick, Jeffery, Priebe, Carey E., Vogelstein, Joshua T.

Sommario: “.... Furthermore, the distribution of each data sample could be either identical and independent (iid) or non-iid...”
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Identifying network topologies via quantum walk distributions di Benedetti, Claudia, Gianani, Ilaria

Sommario: “... to retrieve the topology of a network from the measured probability distribution obtained from the evolution...”
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On the potential of quantum walks for modeling financial return distributions di De Backer, Stijn, Rocha, Luis E. C., Ryckebusch, Jan, Schoors, Koen

Sommario: “.... Return distributions obtained from a model based on the quantum walk algorithm are compared with those...”
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Tensor networks enable the calculation of turbulence probability distributions di Gourianov, Nikita, Givi, Peyman, Jaksch, Dieter, Pope, Stephen B.

Sommario: “... in memory and perform time-evolution. An alternative is to treat turbulence $\textit{probabilistically...”
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On the spatial distribution of luminous blue variables in the M33 galaxy di Kostenkov, A., Fabrika, S., Kaldybekova, A., Fedorchenko, S., Solovyeva, Y., Dedov, E., Sarkisyan, A., Vinokurov, A., Sholukhova, O.

Sommario: “...In the current paper, we present a study of the spatial distribution of luminous blue variables...”
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Modeling discrete common-shock risks through matrix distributions di Bladt, Martin, Cheung, Eric C. K., Peralta, Oscar, Woo, Jae-Kyung

Sommario: “...We introduce a novel class of bivariate common-shock discrete phase-type (CDPH) distributions...”
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