Results 151 to 160 of about 11,928,939 (371)
Active Learning, Control Theory, and Agricultural Policy [PDF]
Gordon C. Rausser
openalex +1 more source
A Python package for fast GPU‐based proton pencil beam dose calculation
Abstract Purpose Open‐source GPU‐based Monte Carlo (MC) proton dose calculation algorithms provide high speed and unparalleled accuracy but can be complex to integrate with new applications and remain slower than GPU‐based pencil beam (PB) methods, which sacrifice some physical accuracy for sub‐second plan calculation.
Mahasweta Bhattacharya+4 more
wiley +1 more source
Generative Adversarial Active Learning [PDF]
We propose a new active learning by query synthesis approach using Generative Adversarial Networks (GAN). Different from regular active learning, the resulting algorithm adaptively synthesizes training instances for querying to increase learning speed.
arxiv
Learning Algorithms for Active Learning
Accepted for publication at ICML ...
Bachman, Philip+2 more
openaire +2 more sources
Risk analysis of the Unity 1.5T MR‐Linac adapt‐to‐shape workflow
Abstract Background and Purpose The adapt‐to‐shape (ATS) workflow on the Unity MR‐Linac (Elekta AB, Stockholm, Sweden) allows for full replanning including recontouring and reoptimization5. Additional complexity to this workflow is added when the adaptation involves the use of MIM Maestro (MIM Software, Cleveland, OH) software in conjunction with ...
Jiayi Liang+13 more
wiley +1 more source
Robust Active Learning (RoAL): Countering Dynamic Adversaries in Active Learning with Elastic Weight Consolidation [PDF]
Despite significant advancements in active learning and adversarial attacks, the intersection of these two fields remains underexplored, particularly in developing robust active learning frameworks against dynamic adversarial threats. The challenge of developing robust active learning frameworks under dynamic adversarial attacks is critical, as these ...
arxiv
Abstract Purpose The purpose of this study was to collect data on current practices for teaching and assessing professionalism in CAMPEP‐accredited residency programs. Methods A survey of 21 questions was sent to 160 program directors (PDs) of CAMPEP‐accredited residency programs.
Anna Rodrigues+5 more
wiley +1 more source
Active Learning from Imperfect Labelers
We study active learning where the labeler can not only return incorrect labels but also abstain from labeling. We consider different noise and abstention conditions of the labeler. We propose an algorithm which utilizes abstention responses, and analyze
Chaudhuri, Kamalika+2 more
core
Active Learning Using Arbitrary Binary Valued Queries [PDF]
S. R. KulKarni+2 more
openalex +1 more source
Background Few studies have examined the relationship between motor skill competence and device-measured physical activity in large samples and none have used non-linear modelling.
L. M. Barnett+15 more
doaj +1 more source