Results 31 to 40 of about 764,789 (277)
SimpleDIVA: A 3-parameter model for examining adaptation in speech and voice production [PDF]
, 2019 Published ...
Daliri, Ayoub +3 more
core +1 more source
Reinforcement-learning-based parameter adaptation method for particle swarm optimization
Complex & Intelligent Systems, 2023 Particle swarm optimization (PSO) is a well-known optimization algorithm that shows good performances in solving different optimization problems. However, the PSO usually suffers from slow convergence.
Shiyuan Yin +6 more
doaj +1 more source
Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview
IEEE Open Journal of Signal Processing, 2021 We present a structured overview of adaptation algorithms for neural network-based speech recognition, considering both hybrid hidden Markov model / neural network systems and end-to-end neural network systems, with a focus on speaker adaptation, domain ...
Peter Bell +5 more
doaj +1 more source
Modeling the interaction between TCP and Rate Adaptation [PDF]
, 2013 In this paper, we model and investigate the interaction between the TCP protocol and rate adaptation at intermediate routers. Rate adaptation aims at saving energy by controlling the offered capacity of links and adapting it to the amount of traffic ...
Khuhawar, Faheem Yar Khan +2 more
core +1 more source
Adaptive Local Realignment via Parameter Advising [PDF]
Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics, 2016 Mutation rates can vary across the residues of a protein, but when multiple sequence alignments are computed for protein sequences, the same choice of values for the substitution score and gap penalty parameters is often used across their entire length.
DeBlasio, Dan, Kececioglu John
openaire +1 more source
Deep Q-Network-Enhanced Self-Tuning Control of Particle Swarm Optimization
ModellingParticle Swarm Optimization (PSO) is a widespread evolutionary technique that has successfully solved diverse optimization problems across various application fields.
Oussama Aoun
doaj +1 more source
IEEE Access, 2020 Production process optimization is an indispensable step in industrial production. The optimization of the metal mines production process (MMPP) can increase production efficiency and thus promote the utilization rate of the metal mineral resources in ...
Xiaowei Gu +5 more
doaj +1 more source
Domain Adaptation for Neural Networks by Parameter Augmentation
, 2016 We propose a simple domain adaptation method for neural networks in a supervised setting. Supervised domain adaptation is a way of improving the generalization performance on the target domain by using the source domain dataset, assuming that both of the
Hashimoto, Kazuma +2 more
core +1 more source
Hospital Service Plans: Their Contract Provisions and Administrative Procedures [PDF]
, 1939 We propose an FDI system for the wind turbine benchmark designed by the application of a generic automated method. No specific adaptation of the method for the wind turbine benchmark is needed, and the number of required human decisions, assumptions, as ...
Carl Svärd, Mattias Nyberg
core +4 more sources
Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Mathematics, 2023 With the growing scale of pre-trained language models (PLMs), full parameter fine-tuning becomes prohibitively expensive and practically infeasible.
Yahao Hu +4 more
doaj +1 more source