Results 61 to 70 of about 1,111,397 (304)
How Machines Learned to Think Statistically [PDF]
Significance, 2015 Abstract Creating artificial human intelligence has proved more difficult than first imagined. But thanks to statistical ideas and models, our machines are getting smarter. Brian Tarran reports An existential risk?
Zoubin Ghahramani, Brian Tarran
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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
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
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An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure [PDF]
, 2013 We present an exploration of the rich theoretical connections between several classes of regularized models, network flows, and recent results in submodular function theory.
Koepke, Hoyt, Meila, Marina
core
The peculiar statistical mechanics of optimal learning machines [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2019 17 pages, 4 ...
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Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du +7 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
Statistical topological data analysis using persistence landscapes [PDF]
, 2015 We define a new topological summary for data that we call the persistence landscape. Since this summary lies in a vector space, it is easy to combine with tools from statistics and machine learning, in contrast to the standard topological summaries ...
Bubenik, Peter
core
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