検索結果 - basic ((difference evolution) OR (((difference relation) OR (difference relocation)))) algorithm*

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  1. Network-on-Chip 著者: Kundu, Santanu, Chattopadhyay, Santanu

    出版事項 2025
    “…It describes NoC research and developments, incorporates theoretical proofs strengthening the analysis procedures, and includes algorithms used in NoC design and synthesis. In addition, it considers other upcoming NoC issues, such as low-power NoC design, signal integrity issues, NoC testing, reconfiguration, synthesis, and 3-D NoC design. …”
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  2. Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning. 著者: Sangacha Tapia, Lady Mariuxi, Celi, Ricardo Javier, Acosta Guzmán, Ivan Leonel, Varela Tapia, Eleanor Alexandra

    出版事項 2026
    “…Chapter 4 is a case of prediction or degree of assertiveness of an algorithm modeling, the intention is to demonstrate the use of a model and several techniques applying NLP based on machine learning.…”
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  3. Tensor Network Contractions 著者: Ran, Shi-Ju, Tirrito, Emanuele, Peng, Cheng, Chen, Xi, Tagliacozzo, Luca, Su, Gang, Lewenstein, Maciej

    出版事項 2021
    “…Varieties of tensor network algorithms have been proposed for different problems. …”
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  4. The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research 著者: Mariza de Andrade, Helena Kuivaniemi, Marylyn D. Ritchie

    出版事項 2021
    “…Chapter 2 describes the results of genetic studies on different diseases for which all the phenotypic information was extracted from the EHR with highly specific ePhenotyping algorithms. …”
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  5. Individual differences in associative learning 著者: Rachel M. Msetfi, Robin A. Murphy

    出版事項 2021
    “…In general, learning theories are monolithic, the same theory applies to the rat and the human, and within people the same algorithm is applied to all individuals. If so this might be thought to suggest that there is little that learning theory can tell us about the how males and females differ, how we change over time or why someone develops schizophrenia for instance. …”
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  6. Frontiers in Evolutionary Robotics

    出版事項 2021
    “…Many researchers have been studying the techniques for evolutionary robotics by using Evolutionary Computation (EC), such as Genetic Algorithms (GA) or Genetic Programming (GP). Their goal is to clarify the applicability of the evolutionary approach to the real-robot learning, especially, in view of the adaptive robot behavior as well as the robustness to noisy and dynamic environments. …”
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  7. Discrete Event Simulations

    出版事項 2021
    “…The range of application of DES spans across many different disciplines and research fields. In research, further development and advancements of the basic DES algorithm continue to be sought while various hybrid methods derived by combining DES with other simulation techniques continue to be developed. …”
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  8. Metalearning 著者: Brazdil, Pavel, van Rijn, Jan N., Soares, Carlos, Vanschoren, Joaquin

    出版事項 2022
    “…It can thus help developers improve their algorithms and also develop learning systems that can improve themselves. …”
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