Search alternatives:
cosmic optimization » cost optimization (Expand Search), chemical optimization (Expand Search), dynamic optimization (Expand Search)
case optimization » based optimization (Expand Search), phase optimization (Expand Search), dose optimization (Expand Search)
library based » laboratory based (Expand Search)
based case » base case (Expand Search), based cancer (Expand Search)
Showing 1 - 20 results of 43 for search '(( library based case optimization algorithm ) OR ( binary _ cosmic optimization algorithm ))', query time: 1.04s Refine Results
  1. 1
    DataSheet1_Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization.pdf

    DataSheet1_Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization.pdf by Erick R. Castro (11243697)

    Published 2024
    Subjects: “…quadratic unconstrained binary optimization formulation…”
    Save to List
    Saved in:
  2. 2
    Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation.

    Library of the 55 different classification and regression machine-learning algorithms used by the ensemble predictor SuperLearner (SL.library) in the CBDA 2.0 implementation. by Simeone Marino (81051)

    Published 2020
    Save to List
    Saved in:
  3. 3
    Summary of classification algorithms.

    Summary of classification algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
    Save to List
    Saved in:
  4. 4
    An optimal solution for the HFS instance.

    An optimal solution for the HFS instance. by Xiang Tian (4369285)

    Published 2025
    “…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
    Save to List
    Saved in:
  5. 5
    Summary of feature-selection algorithms.

    Summary of feature-selection algorithms. by Stephen R. Piccolo (8367780)

    Published 2022
    Save to List
    Saved in:
  6. 6
    Relative classification performance per combination of feature-selection and classification algorithm.

    Relative classification performance per combination of feature-selection and classification algorithm. by Stephen R. Piccolo (8367780)

    Published 2022
    Save to List
    Saved in:
  7. 7
    Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start

    Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start by Yifan Wang (380120)

    Published 2025
    “…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …”
    Save to List
    Saved in:
  8. 8
    Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start

    Fine-Tuning a Genetic Algorithm for CAMD: A Screening-Guided Warm Start by Yifan Wang (380120)

    Published 2025
    “…In response to these challenges, this work presents a method to fine-tune a genetic algorithm for CAMD. The proposed method builds on the COSMO-CAMD framework that utilizes a genetic algorithm for solving optimization-based molecular design problems and COSMO-RS for predicting physical properties of molecules. …”
    Save to List
    Saved in:
  9. 9
    Relative predictive performance when using default algorithm hyperparameters and all features vs. tuning hyperparameters or selecting features.

    Relative predictive performance when using default algorithm hyperparameters and all features vs. tuning hyperparameters or selecting features. by Stephen R. Piccolo (8367780)

    Published 2022
    Save to List
    Saved in:
  10. 10
    Comparison based on hard instances from [79].

    Comparison based on hard instances from [79]. by Xiang Tian (4369285)

    Published 2025
    “…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
    Save to List
    Saved in:
  11. 11
    DataSheet1_Quantum-inspired optimization for wavelength assignment.PDF

    DataSheet1_Quantum-inspired optimization for wavelength assignment.PDF by Aleksey S. Boev (14441805)

    Published 2023
    Save to List
    Saved in:
  12. 12
    Schematic diagram of the Dropout optimization.

    Schematic diagram of the Dropout optimization. by Peng Yang (296696)

    Published 2024
    Save to List
    Saved in:
  13. 13
    Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical predictors.

    Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical pre... by Stephen R. Piccolo (8367780)

    Published 2022
    Save to List
    Saved in:
  14. 14
    Hierarchical Optimization on large models.

    Hierarchical Optimization on large models. by Nisha Ann Viswan (20371285)

    Published 2024
    Save to List
    Saved in:
  15. 15
    Data_Sheet_1_Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer.pdf

    Data_Sheet_1_Physics-Inspired Optimization for Quadratic Unconstrained Problems Using a Digital Annealer.pdf by Maliheh Aramon (6557906)

    Published 2019
    Save to List
    Saved in:
  16. 16
    A simple HFS instance.

    A simple HFS instance. by Xiang Tian (4369285)

    Published 2025
    “…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
    Save to List
    Saved in:
  17. 17
    The scheduling Gantt chart.

    The scheduling Gantt chart. by Xiang Tian (4369285)

    Published 2025
    “…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
    Save to List
    Saved in:
  18. 18
    Structure and computational framework of IPMMPO.

    Structure and computational framework of IPMMPO. by Xiang Tian (4369285)

    Published 2025
    “…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
    Save to List
    Saved in:
  19. 19
    Data types contained in and .

    Data types contained in and . by Xiang Tian (4369285)

    Published 2025
    “…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
    Save to List
    Saved in:
  20. 20
    Data construction of the first and last rows in .

    Data construction of the first and last rows in . by Xiang Tian (4369285)

    Published 2025
    “…Next, a CP model (IPMMPO-CP) applicable to multi-scenario HFS problems is proposed. Finally, based on a large number of instances and real cases, IPMMPO-CP is compared with 9 representative algorithms and 2 latest CP models. …”
    Save to List
    Saved in:

Search Tools: