Výsledky vyhledávání - machinery learning. computational learning theory. combinatorial optimization.

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  1. 1

    Nonlinear stochastic dynamics of detuned bladed-disks with uncertain mistuning and detuning optimization using a probabilistic machine learning tool Autor Capiez-Lernout, Evangéline, Soize, Christian

    ISSN: 0020-7462, 1878-5638
    Vydáno: New York Elsevier Ltd 01.07.2022
    “… We present an efficient computational methodology for reducing the computational cost, an analysis of the detuning, and the detuning optimization, based on the use of a high-fidelity computational model…”
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    Journal Article
  2. 2

    A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm Autor Deng, Wu, Yao, Rui, Zhao, Huimin, Yang, Xinhua, Li, Guangyu

    ISSN: 1432-7643, 1433-7479
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2019
    Vydáno v Soft computing (Berlin, Germany) (01.04.2019)
    “…Aiming at the problem that the most existing fault diagnosis methods could not effectively recognize the early faults in the rotating machinery, the empirical mode decomposition, fuzzy information…”
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    Journal Article
  3. 3

    A Combinatorial Approach to Hyperparameter Optimization Autor Khadka, Krishna, Chandrasekaran, Jaganmohan, Lei, Yu, Kacker, Raghu N., Richard Kuhn, D.

    Vydáno: ACM 14.04.2024
    “…In machine learning, hyperparameter optimization (HPO) is essential for effective model training and significantly impacts model performance…”
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    Konferenční příspěvek
  4. 4

    Songs to Syntax: Cognition, Combinatorial Computation, and the Origin of Language Autor Berwick, Robert C

    ISSN: 1557-3958, 1557-3966
    Vydáno: Hershey IGI Global 01.10.2011
    “… perception, vocalization and auditory memory. There has been convergent evolution of the capacity for auditory-vocal learning, and possibly for structuring of external…”
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    Journal Article
  5. 5

    Performance modeling under resource constraints using deep transfer learning Autor Marathe, Aniruddha, Anirudh, Rushil, Jain, Nikhil, Bhatele, Abhinav, Thiagarajan, Jayaraman, Kailkhura, Bhavya, Yeom, Jae-Seung, Rountree, Barry, Gamblin, Todd

    ISBN: 9781450351140, 145035114X
    ISSN: 2167-4337
    Vydáno: New York, NY, USA ACM 12.11.2017
    “…Tuning application parameters for optimal performance is a challenging combinatorial problem…”
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  6. 6

    Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases Autor Gupta, Swati, Goemans, Michel, Jaillet, Patrick

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 01.03.2016
    Vydáno v arXiv.org (01.03.2016)
    “…In order to find Nash-equilibria for two-player zero-sum games where each player plays combinatorial objects like spanning trees, matchings etc, we consider two online learning algorithms…”
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    Paper
  7. 7

    Randomized Kernel Rounding for Routing, Scheduling, and Machine Learning Autor Farhadi, Majid

    ISBN: 9798265407276
    Vydáno: ProQuest Dissertations & Theses 01.01.2022
    “…From Computer Science, Machine Learning, Communications, and Control Systems to Supply Chain, Finance, and Policy Making we make a sequence of choices, optimality of which can…”
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    Dissertation
  8. 8

    Beyond Worst-Case Analysis of Optimization in the Era of Machine Learning Autor Vlatakis-Gkaragkounis, Emmanouil-Vasileios

    ISBN: 9798841755869
    Vydáno: ProQuest Dissertations & Theses 01.01.2022
    “… While WCA has provided us a thorough picture for a variety of problems over the last few decades, the advent of Machine Learn- ing era renewed our interest in several important optimization problems…”
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    Dissertation
  9. 9

    Overcoming Barriers to Scalability in Variational Quantum Monte Carlo Autor Zhao, Tianchen, De, Saibal, Chen, Brian, Stokes, James, Veerapaneni, Shravan

    ISSN: 2167-4337
    Vydáno: ACM 14.11.2021
    “… Close parallels exist between VQMC and the emerging hybrid quantum-classical computational paradigm of variational quantum algorithms…”
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  10. 10

    Mind evolutionary computation for a kind of non-numerical optimization problems Autor Pei-Jun Chen, Jian-Chao Zeng

    ISBN: 0780384032, 9780780384033
    Vydáno: IEEE 2004
    “…Mind evolutionary computation for a kind of non-numerical optimization problems is introduced, which offers a new all-purpose method for solving the non-numerical optimization…”
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