Results 141 to 150 of about 3,493,044 (354)

Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning [PDF]

open access: yesarXiv
Adapting pre-trained foundation models for various downstream tasks has been prevalent in artificial intelligence. Due to the vast number of tasks and high costs, adjusting all parameters becomes unfeasible. To mitigate this, several fine-tuning techniques have been developed to update the pre-trained model weights in a more resource-efficient manner ...
arxiv  

Parameter Estimation of Gaussian-Damped Sinusoids from a Geometric Perspective [PDF]

open access: yesarXiv, 2016
The five parameter gaussian damped sinusoid equation is a reasonable model for betatron motion with chromatic decoherence of the proton bunch centroid signal in the ring at the Spallation Neutron Source. A geometric method for efficiently fitting this equation to the turn by turn signals to extract the betatron tune and damping constant will be ...
arxiv  

Parameter rays for the exponential family [PDF]

open access: yesarXiv, 2005
We investigate the set of parameters $\kappa\in\C$ for which the singular orbit $(0,e^{\kappa},...)$ of $E_{\kappa}(z):=\exp(z+\kappa)$ converges to $\infty$. These parameters are organized in smooth curves in parameter space called \emph{parameter rays}.
arxiv  

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang   +5 more
wiley   +1 more source

Assessing proton plans with three different beam delivery systems versus photon plans for head and neck tumors

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To compare plan quality among photon volumetric modulated arc therapy (VMAT) and intensity‐modulated proton therapy (IMPT) with robustness using three different proton beam delivery systems with various spot size (σ) ranges: cyclotron‐generated proton beams (CPBs) (σ: 2.7–7.0 mm), linear accelerator proton beams (LPBs) (σ: 2.9–5.5 mm),
Tara Gray   +9 more
wiley   +1 more source

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