Որոնման արդյունքները - (( basic difference evolution algorithm ) OR ( basic difference relation algorithms ))*

Որոնել այլընտրանքներ:

  • Ցուցադրվում են 1 - 15 արդյունքները 15
Հստակեցնել արդյունքները
  1. Network-on-Chip Kundu, Santanu, Chattopadhyay, Santanu

    Հրապարակվել է 2025
    “…This text comprises 12 chapters and covers: The evolution of NoC from SoC—its research and developmental challenges NoC protocols, elaborating flow control, available network topologies, routing mechanisms, fault tolerance, quality-of-service support, and the design of network interfaces The router design strategies followed in NoCs The evaluation mechanism of NoC architectures The application mapping strategies followed in NoCs Low-power design techniques specifically followed in NoCs The signal integrity and reliability issues of NoC The details of NoC testing strategies reported so far The problem of synthesizing application-specific NoCs Reconfigurable NoC design issues Direction of future research and development in the field of NoC Network-on-Chip: The Next Generation of System-on-Chip Integration covers the basic topics, technology, and future trends relevant to NoC-based design, and can be used by engineers, students, and researchers and other industry professionals interested in computer architecture, embedded systems, and parallel/distributed systems.…”
    Ստացեք ամբողջական տեքստը
    Online
  2. Inteligencia Artificial Aplicada a Procesamiento de Lenguaje Natural (NLP) con Python y Machine Learning. Sangacha Tapia, Lady Mariuxi, Celi, Ricardo Javier, Acosta Guzmán, Ivan Leonel, Varela Tapia, Eleanor Alexandra

    Հրապարակվել է 2026
    “…Chapter 1 mentions concepts and the evolution of the different branches of knowledge that encompasses artificial intelligence (AI), the understanding of NLP, machine learning, types of learning to solve problems such as supervised, unsupervised and reinforcement. …”
    Ստացեք ամբողջական տեքստը
    Online
  3. Tensor Network Contractions Ran, Shi-Ju, Tirrito, Emanuele, Peng, Cheng, Chen, Xi, Tagliacozzo, Luca, Su, Gang, Lewenstein, Maciej

    Հրապարակվել է 2021
    “…To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. …”
    Ստացեք ամբողջական տեքստը
    Online
  4. The Foundation of Precision Medicine: Integration of Electronic Health Records with Nenomics Through Basic, Clinical, and Translational Research Mariza de Andrade, Helena Kuivaniemi, Marylyn D. Ritchie

    Հրապարակվել է 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. …”
    Ստացեք ամբողջական տեքստը
    Online
  5. Individual differences in associative learning Rachel M. Msetfi, Robin A. Murphy

    Հրապարակվել է 2021
    “…This work involves varying stimulus properties and temporal relations or modeling the differences between groups.…”
    Ստացեք ամբողջական տեքստը
    Online
  6. Frontiers in Evolutionary Robotics

    Հրապարակվել է 2021
    “…For this purpose, authors in this book explain a variety of real robots in different fields. For instance, in a multi-robot system, several robots simultaneously work to achieve a common goal via interaction; their behaviors can only emerge as a result of evolution and interaction. …”
    Ստացեք ամբողջական տեքստը
    Online
  7. Discrete Event Simulations

    Հրապարակվել է 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. …”
    Ստացեք ամբողջական տեքստը
    Online
  8. Metalearning Brazdil, Pavel, van Rijn, Jan N., Soares, Carlos, Vanschoren, Joaquin

    Հրապարակվել է 2022
    “…This book offers a comprehensive and thorough introduction to almost all aspects of metalearning and AutoML, covering the basic concepts and architecture, evaluation, datasets, hyperparameter optimization, ensembles and workflows, and also how this knowledge can be used to select, combine, compose, adapt and configure both algorithms and models to yield faster and better solutions to data mining and data science problems. …”
    Ստացեք ամբողջական տեքստը
    Online