Hierarchical Collaborative Hyper-Parameter Tuning [PDF]
, 2022 Hyper-parameter Tuning is among the most critical stages in building machine learning solutions. This paper demonstrates how multi-agent systems can be utilized to develop a distributed technique for determining near-optimal values for any arbitrary set of hyper-parameters in a machine learning model.
Ahmad Esmaeili +2 more
openaire +3 more sources
Data integration by multi-tuning parameter elastic net regression [PDF]
BMC Bioinformatics, 2018 Background To integrate molecular features from multiple high-throughput platforms in prediction, a regression model that penalizes features from all platforms equally is commonly used.
Jie Liu +3 more
doaj +2 more sources
A systematic approach to parameter optimization and its application to flight schedule simulation software [PDF]
, 2022 Industrial software often has many parameters that critically impact performance. Frequently, these are left in a sub-optimal configuration for a given application because searching over possible configurations is costly and, except for developer ...
Burke, Edmund K +9 more
core +1 more source
Hyperparameter Tuning for Machine and Deep Learning with R [PDF]
, 2023 This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods.
core +1 more source
An automated system for program parameters fine tuning in the cloud [PDF]
Компьютерные исследования и моделирование, 2015 The paper presents a software system aimed at finding best (in some sense) parameters of an algorithm. The system handles both discrete and continuous parameters and employs massive parallelism offered by public clouds.
S. A. Smirnov, A. S. Tarasov
doaj +1 more source
Calibration of tuning parameter for SWAM using empirical data. [PDF]
, 2022 We calibrated our tuning parameter using GEUVADIS data as our external validation. As a result, we set the default value of this tuning parameter to 3 in our software, which we believe performs best.
Hyun Min Kang (9690325) +1 more
core +1 more source
A Self-Adaptive Heuristic Algorithm for Combinatorial Optimization Problems [PDF]
International Journal of Computational Intelligence Systems, 2014 This paper introduces a new self-tuning mechanism to the local search heuristic for solving of combinatorial optimization problems. Parameter tuning of heuristics makes them difficult to apply, as parameter tuning itself is an optimization problem.
Cigdem Alabas-Uslu, Berna Dengiz
doaj +1 more source
A semi-automated design of instance-based fuzzy parameter tuning for metaheuristics based on decision tree induction [PDF]
, 2015 Two main concepts are established in the literature for the Parameter Setting Problem (PSP) of metaheuristics: Parameter Tuning Strategies (PTS) and Parameter Control Strategies (PCS).
Ries, Jana, Beullens, Patrick
core +2 more sources
Parameter tuning plot for the proposed method. [PDF]
, 2022 Parameter tuning plot for the proposed method.
Hafiz Ahmed (206509) +3 more
core +1 more source
Research on application of ZigBee technology in PID controller parameter tuning
Gong-kuang zidonghua, 2016 In view of problem of traditional PID parameter tuning such as installation and wiring of cable are quite cumbersome,operation lacks flexibility, the paper proposed to apply ZigBee technology to PID parameter tuning.
LIU Xianfeng +2 more
doaj +1 more source