Results 11 to 20 of about 466,927 (310)
Imitation learning with non-parametric regression [PDF]
Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics, 2012 Humans are very fast learners. Yet, we rarely learn a task completely from scratch. Instead, we usually start with a rough approximation of the desired behavior and take the learning from there. In this paper, we use imitation to quickly generate a rough solution to a robotic task from demonstrations, supplied as a collection of state-space ...
Vaandrager, Maarten +3 more
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Probability and Inferential Statistics
Airway, 2020 Application of statistical tools is essential for appropriate understanding of the collected data in clinical trials. The types of variables for the study are also decided in advance and the relevant statistical tools identified in the planning stage of ...
Rakesh Garg +3 more
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Back Analysis Algorithm of Soil Parameter Based on Non-parametric Regression [PDF]
Jisuanji gongcheng, 2016 Because of the uncertainty factors such as test condition,the variability of soil properties,soil sampling methods,sample disturbance and so on,test results of soil parameters obtained by field test have the discreteness.And results obtained by ...
CAO Jing,SUN Changning,ZHANG Ruimei,SONG Zhigang,LIU Haiming
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Forecasting, 2021 A rapid decline in mortality and fertility has become major issues in many developed countries over the past few decades. An accurate model for forecasting demographic movements is important for decision making in social welfare policies and resource ...
Ka Kin Lam, Bo Wang
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EJNMMI Physics, 2023 Full quantification of Positron Emission Tomography (PET) requires an arterial input function (AIF) for measurement of certain targets, or using particular radiotracers, or for the quantification of specific outcome measures.
Granville J. Matheson +7 more
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Journal of Modern Power Systems and Clean Energy, 2022 Accurate transient stability assessment (TSA) and effective preventive control are important for the stable operation of power systems. With the superiorities in precision and efficiency, data-driven methods are widely used in TSA nowadays.
Yiwei Fu +5 more
doaj +1 more source
A Novel EM-Type Algorithm to Estimate Semi-Parametric Mixtures of Partially Linear Models
Mathematics, 2023 Semi- and non-parametric mixture of normal regression models are a flexible class of mixture of regression models. These models assume that the component mixing proportions, regression functions and/or variances are non-parametric functions of the ...
Sphiwe B. Skhosana +2 more
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A better alternative to non-parametric approaches for adjusting for covariate measurement errors in logistic regression. [PDF]
, 2016 In this article, we propose a flexible parametric (FP) approach for adjusting for covariate measurement errors in regression that can accommodate replicated measurements on the surrogate (mismeasured) version of the unobserved true covariate on all the ...
Hossain, Shahadut +2 more
core +1 more source
Parametric regression of 3D medical images through the exploration of non-parametric regression models [PDF]
, 2010 International audienceCurrently there is an increase usage of CT-based bone diagnosis because low-radiation and cost-effective 2D imaging modalities do not provide the necessary 3D information for bone diagnosis.
Christof Seiler +6 more
core +2 more sources
Non-Parametric Calibration of Probabilistic Regression
CoRR, 2018 The task of calibration is to retrospectively adjust the outputs from a machine learning model to provide better probability estimates on the target variable. While calibration has been investigated thoroughly in classification, it has not yet been well-established for regression tasks.
Hao Song 0007 +2 more
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