Výsledky vyhledávání - "algorithms in high dimensions"

Experimental Evaluation of Nature-Inspired Algorithms on High Dimensions

Autoři: Manisha Singla Kaushal K. Shukla

Zdroj: Lecture Notes in Networks and Systems ISBN: 9789811312168

Přístupová URL adresa: https://link.springer.com/chapter/10.1007%2F978-981-13-1217-5_60

On the dominance of non-parametric Bayes rule discriminant algorithms in high dimensions

Autoři: John W. Van Ness

Zdroj: Pattern Recognition. 12:355-368

Témata: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences

Algorithms for Numerical Analysis in High Dimensions: Algorithms for numerical analysis in high dimensions

Autoři: Gregory Beylkin Martin J. Mohlenkamp Legrand, Mathias

Přispěvatelé: Gregory Beylkin Martin J. Mohlenkamp Legrand, Mathias

Zdroj: SIAM Journal on Scientific Computing. 26:2133-2159

Témata: antisymmetric functions, Iterative numerical methods for linear systems, computational complexity, separation of variables, alternating least squares, [MATH] Mathematics [math], General theory of numerical analysis in abstract spaces, curse of dimensionality, 01 natural sciences, Complexity and performance of numerical algorithms, separated representation, Algorithms for approximation of functions, Applications to the sciences, multidimensional function, multiparticle Schrödinger equation, Closed and approximate solutions to the Schrödinger, Dirac, Klein-Gordon and other equations of quantum mechanics, algorithms in high dimensions, separated solutions of linear systems, [SPI.MECA.STRU] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph], 0101 mathematics, separation-rank reduction, multidimensional operator

Popis souboru: application/pdf; application/xml

Přístupová URL adresa: https://hal.archives-ouvertes.fr/hal-02076682/file/Beylkin2005.pdf
https://hal.science/hal-02076682v1
https://hal.science/hal-02076682v1/document
https://doi.org/10.1137/040604959
https://zbmath.org/2207145
https://doi.org/10.1137/040604959
https://amath.colorado.edu/faculty/beylkin/papers/BEY-MOH-2005.pdf
https://dblp.uni-trier.de/db/journals/siamsc/siamsc26.html#BeylkinM05
https://locus.siam.org/doi/abs/10.1137/040604959
https://epubs.siam.org/doi/10.1137/040604959
https://core.ac.uk/display/20864080
http://amath.colorado.edu/faculty/beylkin/papers/BEY-MOH-2005.pdf

Analysis of DGD for decentralized high-dimensional statistical models: beyond the least squares.

Autoři: Gao, Junzhuo Lian, Heng

Zdroj: Analysis & Applications. Aug2025, p1-21. 21p.

Témata: *LOSS functions (Statistics), *CONVEX functions, *NUMERICAL analysis, *NONLINEAR statistical models, *OPTIMIZATION algorithms, *SPARSE approximations, *FEATURE selection

A denoised multi-omics integration framework for cancer subtype classification and survival prediction.

Autoři: Pang, Jiali Liang, Bilin Ding, Ruifeng a další

Zdroj: Briefings in Bioinformatics; Sep2023, Vol. 24 Issue 5, p1-12, 12p

Témata: MULTIOMICS, TUMOR classification, MACHINE learning, FEATURE selection, RENAL cancer, NUCLEOTIDE sequencing

A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm

Autoři: Kim, Junhyung Lyle Chia, Nai-Hui Kyrillidis, Anastasios

Témata: Quantum Physics, Computer Science - Data Structures and Algorithms, Computer Science - Machine Learning, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/2406.13879

Quantum Circuits for partial differential equations via Schr\'odingerisation

Autoři: Hu, Junpeng Jin, Shi Liu, Nana a další

Témata: Quantum Physics, Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2403.10032

MEIAO: A Multi-Strategy Enhanced Information Acquisition Optimizer for Global Optimization and UAV Path Planning.

Autoři: Chen, Yongzheng Sun, Ruibo Zheng, Jun a další

Zdroj: Biomimetics (2313-7673); Nov2025, Vol. 10 Issue 11, p765, 44p

Témata: ROBOTIC path planning, GLOBAL optimization, DRONE warfare, SWARM intelligence, LEVY processes, ACQUISITION of data, DIFFERENTIAL evolution, MULTI-objective optimization

Accelerated stochastic approximation with state-dependent noise.

Autoři: Ilandarideva, Sasila Juditsky, Anatoli Lan, Guanghui a další

Zdroj: Mathematical Programming; Sep2025, Vol. 213 Issue 1/2, p239-280, 42p

Témata: CONVEX programming, OPTIMIZATION algorithms, STOCHASTIC programming, ESTIMATION theory

Reinforcement learning-guided Animated Oat Optimization Algorithm with dynamic niching for high-dimensional optimization problems.

Autoři: Yang, Jia-Lin Sun, Hao-Ran Chen, Chai-Rui a další

Zdroj: Electronic Research Archive; 2025, Vol. 33 Issue 9, p1-55, 55p

Témata: OPTIMIZATION algorithms, SOURCE code, LEARNING strategies, METAHEURISTIC algorithms, OATS, REINFORCEMENT learning

Nested sampling for physical scientists

Autoři: Ashton, Greg Bernstein, Noam Buchner, Johannes a další

Témata: Journal Article, PeerReviewed

URL: https://doi.org/10.1038/s43586-022-00121-x
https://eprints.lancs.ac.uk/id/eprint/171345/
https://eprints.lancs.ac.uk/id/eprint/171345
https://doi.org/10.1038/s43586-022-00121-x

High-dimensional scaling limits of piecewise deterministic sampling algorithms

Autoři: Bierkens, G.N.J.C. (author) Kamatani, Kengo (author) Roberts, Gareth O. (author)

Témata: exponential ergodicity, Gaussian process, Markov chain Monte Carlo, Piecewise deterministic Markov processes, weak convergence, journal article

URL: http://resolver.tudelft.nl/uuid:7fe64066-bb46-41fa-836f-060a78f8177e
http://www.scopus.com/inward/record.url?scp=85131946125&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85131946125&partnerID=8YFLogxK
Annals of Applied Probability--1050-5164--4bf184ba-d38e-4980-8289-52b6645cf4da

Principled Statistical Approaches For Sampling and Inference in High Dimensions

Autoři: Wainwright, Martin Yu, Bin Dwivedi, Raaz

Témata: Statistics, Artificial intelligence, Computer science, Causal inference, Expectation-Maximization, Heterogeneous treatment effect, MCMC meothods, Mixture models, Random sampling, publication

URL: https://escholarship.org/uc/item/1w72r7cz
https://escholarship.org/content/qt1w72r7cz/qt1w72r7cz.pdf

A filter-wrapper model for high-dimensional feature selection based on evolutionary computation: A filter-wrapper model for high-dimensional feature selection...: P. Hu and J. Zhu.

Autoři: Hu, Pei Zhu, Jiulong

Zdroj: Applied Intelligence; May2025, Vol. 55 Issue 7, p1-13, 13p

Accelerated Bayesian Reciprocal LASSO.

Autoři: Paul, Erina He, Jingyu Mallick, Himel

Zdroj: Communications in Statistics: Simulation & Computation; 2025, Vol. 54 Issue 4, p1175-1191, 17p

Témata: REGRESSION analysis, DATA analysis, COUSINS, ALGORITHMS, FORECASTING

An opposition-based butterfly optimization algorithm with adaptive elite mutation in solving complex high-dimensional optimization problems.

Autoři: Li, Yu Yu, Xiaomei Liu, Jingsen

Zdroj: Mathematics & Computers in Simulation. Feb2023, Vol. 204, p498-528. 31p.

Témata: *MATHEMATICAL optimization, *BUTTERFLIES, *ENGINEERING design, *DIFFERENTIAL evolution, *ORDER picking systems, *PROBLEM solving, *PARTICLE swarm optimization, *PROTEIN engineering

Discovering Representations for Black-box Optimization

Autoři: Gaier, Adam Asteroth, Alexander Mouret, Jean-Baptiste

Témata: Computer Science - Neural and Evolutionary Computing, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2003.04389

SYNCHRONIZED OPTIMAL TRANSPORT FOR JOINT MODELING OF DYNAMICS ACROSS MULTIPLE SPACES.

Autoři: ZIXUAN CANG YANXIANG ZHAO

Zdroj: SIAM Journal on Applied Mathematics; 2025, Vol. 85 Issue 1, p341-365, 25p

Témata: PROBLEM solving, ALGORITHMS, COST

Optimal scaling of random-walk metropolis algorithms on general target distributions.

Autoři: Yang, Jun Roberts, Gareth O. Rosenthal, Jeffrey S.

Zdroj: Stochastic Processes & Their Applications. Oct2020, Vol. 130 Issue 10, p6094-6132. 39p.

Témata: *METROPOLIS, *ALGORITHMS, *MARKOV chain Monte Carlo, *STATISTICS, *DIFFUSION, *TRACKING algorithms, *RANDOM walks

Geografický termín: HASTINGS (England)

Scalable Approximate MCMC Algorithms for the Horseshoe Prior.

Autoři: Johndrow, James Orenstein, Paulo Bhattacharya, Anirban

Zdroj: Journal of Machine Learning Research. 2020, Vol. 21 Issue 48-77, p1-61. 61p.

Témata: *MARKOV chain Monte Carlo, *SCALABILITY, *BAYESIAN analysis, *APPROXIMATION error, *ALGORITHMS, *MATRIX multiplications