Results 81 to 90 of about 2,045,405 (349)
Provable local learning rule by expert aggregation for a Hawkes network [PDF]
arXiv, 2023 We propose a simple network of Hawkes processes as a cognitive model capable of learning to classify objects. Our learning algorithm, named HAN for Hawkes Aggregation of Neurons, is based on a local synaptic learning rule based on spiking probabilities at each output node. We were able to use local regret bounds to prove mathematically that the network
arxiv
The peculiar statistical mechanics of optimal learning machines [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2019 17 pages, 4 ...
openaire +4 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
Online Statistics Teaching and Learning [PDF]
arXiv, 2020 For statistics courses at all levels, teaching and learning online poses challenges in different aspects. Particular online challenges include how to effectively and interactively conduct exploratory data analyses, how to incorporate statistical programming, how to include individual or team projects, and how to present mathematical derivations ...
arxiv
Predicting Cervical Cancer Outcomes: Statistics, Images, and Machine Learning [PDF]
, 2021 Wei Luo
openalex +1 more source
Using deep learning generated CBCT contours for online dose assessment of prostate SABR treatments
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Prostate Stereotactic Ablative Body Radiotherapy (SABR) is an ultra‐hypofractionated treatment where small setup errors can lead to higher doses to organs at risk (OARs). Although bowel and bladder preparation protocols reduce inter‐fraction variability, inconsistent patient adherence still results in OAR variability.
Conor Sinclair Smith +8 more
wiley +1 more source
On robustness properties of convex risk minimization methods for pattern recognition [PDF]
The paper brings together methods from two disciplines: machine learning theory and robust statistics. Robustness properties of machine learning methods based on convex risk minimization are investigated for the problem of pattern recognition ...
Christmann, Andreas, Steinwart, Ingo
core
Towards a New Science of a Clinical Data Intelligence [PDF]
, 2013 In this paper we define Clinical Data Intelligence as the analysis of data generated in the clinical routine with the goal of improving patient care. We define a science of a Clinical Data Intelligence as a data analysis that permits the derivation of ...
Budde, Klemens +16 more
core
Predicting COVID-19 statistics using machine learning regression model: Li-MuLi-Poly [PDF]
, 2021 Hari Singh, Seema Bawa
openalex +1 more source
Neurosurgery, 2019 BACKGROUND Although survival statistics in patients with glioblastoma multiforme (GBM) are well-defined at the group level, predicting individual patient survival remains challenging because of significant variation within strata.
J. Senders +9 more
semanticscholar +1 more source