Results 21 to 30 of about 529,949 (323)

Neural specialization to English words in Chinese children: Joint contribution of age and English reading abilities

Developmental Cognitive Neuroscience, 2023
N1 tuning to words, a neural marker of visual word recognition, develops by an interaction between age and ability. The development of N1 tuning to a second learnt print is unclear.
Shuting Huo, Jason Chor Ming Lo, Jie Ma, Urs Maurer, Catherine McBride   +4 more
doaj   +1 more source

Fine-tuning in the 2HDM

European Physical Journal C: Particles and Fields, 2022
The Two-Higgs Doublet Model (2HDM) is one of the most popular and natural extensions of the Higgs sector; but it has two potential fine-tuning problems, related to the electroweak (EW) breaking and the requirement of alignment with the SM Higgs boson. We
A. Bernal, J. A. Casas, J. M. Moreno
doaj   +1 more source

Analysis of fine-tuning measures in models with extended Higgs sectors

Nuclear Physics B, 2019
In the literature measures of fine-tuning have been discussed as one of the tools to assess the feasibility of beyond the Standard Model theories. In this paper we focus on two specific measures and investigate what kind of fine-tuning they actually ...
Daniël Boer, Ruud Peeters, Sybrand Zeinstra   +2 more
doaj   +1 more source

A Comprehensive Performance Analysis of Transfer Learning Optimization in Visual Field Defect Classification

Diagnostics, 2022
Numerous research have demonstrated that Convolutional Neural Network (CNN) models are capable of classifying visual field (VF) defects with great accuracy.
Masyitah Abu, Nik Adilah Hanin Zahri, Amiza Amir, Muhammad Izham Ismail, Azhany Yaakub, Said Amirul Anwar, Muhammad Imran Ahmad   +6 more
doaj   +1 more source

Naturalness and Fine Tuning in the NMSSM: Implications of Early LHC Results [PDF]

, 2011
We study the fine tuning in the parameter space of the semi-constrained NMSSM, where most soft Susy breaking parameters are universal at the GUT scale. We discuss the dependence of the fine tuning on the soft Susy breaking parameters M_1/2 and m0, and on
A Strumia, B Carlos de, BC Allanach, BC Allanach, Cyril Hugonie, DE Lopez-Fogliani, E Witten, E Witten, F Domingo, F Domingo, F Feroz, G Abbiendi, GG Ross, GL Kane, Grégory Espitalier-Noël, GW Anderson, J Abdallah, JR Ellis, KL Chan, L Giusti, M Bastero-Gil, M Maniatis, N Sakai, O Buchmueller, P Bechtle, P Ciafaloni, PH Chankowski, PH Chankowski, R Barbieri, R Barbieri, R Barbieri, R Dermisek, R Dermisek, R Dermisek, R Dermisek, R Dermisek, RK Kaul, S Akula, S Cassel, S Cassel, S Cassel, S Dimopoulos, S Schael, S Schael, S Scopel, U Ellwanger, U Ellwanger, U Ellwanger, U Ellwanger, U Ellwanger, U Ellwanger, U Ellwanger, Ulrich Ellwanger   +52 more
core   +3 more sources

The fine art of fine-tuning: A structured review of advanced LLM fine-tuning techniques

Natural Language Processing Journal
Transformer-based models have consistently demonstrated superior accuracy compared to various traditional models across a range of downstream tasks.
Samar Pratap, Alston Richard Aranha, Divyanshu Kumar, Gautam Malhotra, Anantharaman Palacode Narayana Iyer, Shylaja S.S.   +5 more
doaj   +1 more source

Exploring fine-tuning of the Next-to-Minimal Composite Higgs Model

Journal of High Energy Physics, 2019
We perform a detailed study of the fine-tuning of the two-site, 4D, Next-to-Minimal Composite Higgs Model (NMCHM), based on the global symmetry breaking pattern SO(6) → SO(5).
Daniel Murnane, Martin White, Anthony G. Williams   +2 more
doaj   +1 more source

Repeatability of Fine-Tuning Large Language Models Illustrated Using QLoRA

IEEE Access
Large language models (LLMs) have shown progress and promise in diverse applications ranging from the medical field to chat bots. Developing LLMs requires a large corpus of data and significant computation resources to achieve efficient learning ...
Saeed S. Alahmari, Lawrence O. Hall, Peter R. Mouton, Dmitry B. Goldgof   +3 more
doaj   +1 more source

Fine Tuning in General Gauge Mediation [PDF]

, 2009
We study the fine-tuning problem in the context of general gauge mediation. Numerical analyses toward for relaxing fine-tuning are presented. We analyse the problem in typical three cases of the messenger scale, that is, GUT ($2\times10^{16}$ GeV ...
A Birkedal, A Birkedal, A Brignole, A Brignole, A Delgado, A Falkowski, A Rajaraman, C Cheung, C Csáki, D Marques, GF Giudice, GF Giudice, GL Kane, GL Kane, H Abe, H Abe, H Ooguri, HE Haber, I Gogoladze, I Gogoladze, JA Casas, JA Casas, JR Ellis, JR Ellis, JR Ellis, K Agashe, K Benakli, K Choi, K Choi, K Choi, K Choi, K Choi, K Huitu, K Inoue, K Inoue, K Inoue, KA Intriligator, KJ Bae, L Álvarez-Gaumé, LE Ibáñez, LE Ibáñez, LE Ibáñez, LE Ibáñez, LM Carpenter, M Bastero-Gil, M Buican, M Drees, M Endo, M Luo, MS Carena, MS Carena, P Batra, P Meade, PH Chankowski, PH Chankowski, R Barbieri, R Dermisek, R Dermisek, R Dermisek, R Essig, R Essig, R Harnik, R Kitano, Ryo Takahashi, S Chang, S Chang, SP Martin, T Kobayashi, T Kobayashi, T Kobayashi, T Kobayashi, Tatsuo Kobayashi, Y Okada, Yuichiro Nakai, Z Chacko   +74 more
core   +2 more sources

Remote sensing tuning: A survey

Computational Visual Media
Large models have accelerated the development of intelligent interpretation in remote sensing. Many remote sensing foundation models (RSFM) have emerged in recent years, sparking a new wave of deep learning in this field.
Dongshuo Yin, Ting-Fen Zhao, Deng-Ping Fan, Shutao Li, Bo Du, Xian Sun, Shi-Min Hu   +6 more
doaj   +1 more source