Results 101 to 110 of about 636,159 (270)
An Adaptive Strategy for Active Learning with Smooth Decision Boundary [PDF]
arXiv, 2017 We present the first adaptive strategy for active learning in the setting of classification with smooth decision boundary. The problem of adaptivity (to unknown distributional parameters) has remained opened since the seminal work of Castro and Nowak (2007), which first established (active learning) rates for this setting. While some recent advances on
arxiv
Assessment of a medical physics educational program for science teachers
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Introduction Medical physics is a fulfilling profession where physics is applied to advance human health. However, many are uninformed of the role of physicists in medicine, and students are unaware of this career pathway. This study presents a pilot 1‐year program for science teachers to learn about physics in medicine and share with students
Ashley J. Cetnar +2 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien +8 more
wiley +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Volumetric‐modulated arc therapy (VMAT) treatment planning allows a compromise between a sufficient coverage of the planning target volume (PTV) and a simultaneous sparing of organs‐at‐risk (OARs). Particularly in the case of lung tumors, deciding whether it is possible or worth spending more time on further improvements of a treatment
Johann Brand +4 more
wiley +1 more source
Fast Adaptive K-Means Subspace Clustering for High-Dimensional Data
IEEE Access, 2019 In many real-world applications, data are represented by high-dimensional features. Despite the simplicity, existing K-means subspace clustering algorithms often employ eigenvalue decomposition to generate an approximate solution, which makes the model ...
Xiao-Dong Wang +4 more
doaj +1 more source
, 2013 Developing an effective multi-stage treatment strategy over time is one of the essential goals of modern medical research. Developing statistical inference, including constructing confidence intervals for parameters, is of key interest in studies applying dynamic treatment regimens.
Goldberg, Yair +2 more
openaire +2 more sources
A Python package for fast GPU‐based proton pencil beam dose calculation
Journal of Applied Clinical Medical Physics, EarlyView.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
Negotiation Support Models for Integrated Natural Resource Management in Tropical Forest Margins
Ecology and Society, 2002 Natural resource management research has to evolve from a focus on plans, maps, and regulations to an acknowledgment of the complex, sometimes chaotic, reality in the field, with a large number of actors making their own decisions.
Meine van Noordwijk +2 more
doaj +1 more source
learning to adapt meta learning approaches for speaker adaptation
, 2020 The performance of automatic speech recognition systems degrades rapidly when there is a mismatch between training and testing conditions. One way to compensate for this mismatch is to adapt an acoustic model to test conditions, for example by performing speaker adaptation.
openaire +4 more sources