Results 81 to 90 of about 765,290 (198)

A Reinforcement Learning Handover Parameter Adaptation Method Based on LSTM-Aided Digital Twin for UDN. [PDF]

Sensors (Basel), 2023
He J, Xiang T, Wang Y, Ruan H, Zhang X.
europepmc   +1 more source

Data driven automatic model selection and parameter adaptation – a case study for septic shock [PDF]

, 2010
In bioinformatics, biochemical pathways can be modeled by many differential equations. It is still an open problem how to fit the huge amount of parameters of the equations to the available data.
Brause, Rüdiger W.
core  

Activation-Guided Low-Rank Parameter Adaptation for Efficient Model Fine-Tuning

IEEE Access
Fine-tuning large language models is computationally expensive, and while existing parameter-efficient methods like Low-Rank Adaptation (LoRA) reduce computational costs, they are limited by suboptimal initialization strategies.
Qingchen Wang, Shengyu Shen
doaj   +1 more source

Fuzzy dynamic parameter adaptation in the bird swarm algorithm for neural network optimization. [PDF]

Soft comput, 2022
Melin P, Miramontes I, Carvajal O, Prado-Arechiga G.   +3 more
europepmc   +1 more source

On Regularization Parameter Estimation under Covariate Shift

, 2016
This paper identifies a problem with the usual procedure for L2-regularization parameter estimation in a domain adaptation setting. In such a setting, there are differences between the distributions generating the training data (source domain) and the ...
Kouw, Wouter M., Loog, Marco
core   +1 more source

A review of domain adaptation without target labels

, 2019
Domain adaptation has become a prominent problem setting in machine learning and related fields. This review asks the question: how can a classifier learn from a source domain and generalize to a target domain?
Kouw, Wouter M., Loog, Marco
core   +1 more source

Optimizer-Aware Fine-Tuning of Whisper Small with Low-Rank Adaption: An Empirical Study of Adam and AdamW

Information
Whisper is a transformer-based multilingual model that has illustrated state-of-the-art behavior in numerous languages. However, the efficiency remains persistent with the limited computational resources.
Hadia Arshad, Tahir Abdullah, Mariam Rehman, Afzaal Hussain, Faria Kanwal, Mehwish Parveen   +5 more
doaj   +1 more source

Trait Mindfulness Is Associated With the Self-Similarity of Heart Rate Variability

Frontiers in Psychology, 2019
Previous studies have linked trait mindfulness with better self-regulation and adaptation. Heart rate variability (HRV) is a good physiological indicator of the capacity for self-regulation and adaptation.
Shasha Sun, Chuanlin Hu, Junhao Pan, Chengyi Liu, Miner Huang   +4 more
doaj   +1 more source

Parameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization

IEEE Access, 2019
ACOR is a well-established ant colony optimization algorithm for continuous-domain optimization. We present an approach for the dynamic adaptation of the ACOR algorithm's controlling parameters, focusing on the search width parameter, based on using ...
Ashraf M. Abdelbar, Khalid M. Salama
doaj   +1 more source

Parameter-Adaptive Dynamic Pricing

Dynamic pricing is crucial in sectors like e-commerce and transportation, balancing exploration of demand patterns and exploitation of pricing strategies. Existing methods often require precise knowledge of the demand function, e.g., the H{ö}lder smoothness level and Lipschitz constant, limiting practical utility.
Gong, Xueping, Zhang, Jiheng
openaire   +2 more sources