Results 41 to 50 of about 433,523 (290)
Algorithmic statistics, prediction and machine learning
, 2015 Algorithmic statistics considers the following problem: given a binary string $x$ (e.g., some experimental data), find a "good" explanation of this data. It uses algorithmic information theory to define formally what is a good explanation. In this paper we extend this framework in two directions.
openaire +4 more sources
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
Causality and Statistical Learning [PDF]
arXiv, 2010 We review some approaches and philosophies of causal inference coming from sociology, economics, computer science, cognitive science, and ...
arxiv
Statistics and Machine Learning Experiments in Poetry
Sci, 2020 This paper presents a quantitative approach to poetry, based on the use of several statistical measures (entropy, information energy, N-gram, etc.) applied to a few characteristic English writings. We found that English language changes its entropy as time passes, and that entropy depends on the language used and on the author.
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Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Palliative radiotherapy comprises a significant portion of the radiation treatment workload. Volumetric‐modulated arc therapy (VMAT) improves dose conformity and, in conjunction with flattening filter free (FFF) delivery, can decrease treatment times, both of which are desirable in a population with a high probability of retreatment ...
Madeleine L. Van de Kleut +2 more
wiley +1 more source
A Comparative Study of Statistical Learning and Adaptive Learning [PDF]
arXiv, 2015 Numerous strategies have been adopted in order to make the process of learning simple, efficient and within less amount of time.. Classroom learning is slowly replaced by E-learning and M- learning. These techniques involve the usage of computers, smart phones and tablets for the process of learning.
arxiv
Learning Optimal Test Statistics in the Presence of Nuisance Parameters [PDF]
arXiv, 2022 The design of optimal test statistics is a key task in frequentist statistics and for a number of scenarios optimal test statistics such as the profile-likelihood ratio are known. By turning this argument around we can find the profile likelihood ratio even in likelihood-free cases, where only samples from a simulator are available, by optimizing a ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen +3 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
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
openaire +2 more sources