Results 31 to 40 of about 2,676,134 (279)
Multifidelity Cross-Validation
AIAA AVIATION FORUM AND ASCEND 2024arXiv admin note: text overlap with arXiv:2203 ...
Renganathan, S. Ashwin, Carlson, Kade
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MACHINE LEARNING METHODS APPLIED IN AIR QUALITY PREDICTION [PDF]
Romanian Journal of Petroleum & Gas TechnologyAir quality is an important environmental component that has a significant influence on public health and well-being. Poor air quality can cause a variety of health problems, including respiratory and cardiovascular disorders.
Mihai-Claudiu Vieru +1 more
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Classification of emotional speech using spectral pattern features [PDF]
Journal of Artificial Intelligence and Data Mining, 2014 Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound.
Ali Harimi +3 more
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A comparative evaluation of nonlinear dynamics methods for time series prediction [PDF]
, 2009 A key problem in time series prediction using autoregressive models is to fix the model order, namely the number of past samples required to model the time series adequately. The estimation of the model order using cross-validation may be a long process.
Camastra, F., Filippone, M.
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Possibly Nonstationary Cross-Validation [PDF]
SSRN Electronic Journal, 2016 Cross-validation is the most common data-driven procedure for choosing smoothing parameters in nonparametric regression. For the case of kernel estimators with iid or strong mixing data, it is well-known that the bandwidth chosen by cross-validation is optimal with respect to the average squared error and other performance measures.
Bandi, Federico M +2 more
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Prediction method of gas emission based on random forest and support vector machine
Meikuang Anquan, 2022 In order to solve the problems of unreasonable selection of prediction methods and poor prediction accuracy for gas emission in mining face, with the help of machine learning methods, in this paper, existing data was processed through cross-validation ...
CHENG Xiaoyu +4 more
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A bias correction for the minimum error rate in cross-validation
, 2009 Tuning parameters in supervised learning problems are often estimated by cross-validation. The minimum value of the cross-validation error can be biased downward as an estimate of the test error at that same value of the tuning parameter.
Tibshirani, Robert, Tibshirani, Ryan J.
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Concentration inequalities of the cross-validation estimate for stable predictors [PDF]
, 2010 In this article, we derive concentration inequalities for the cross-validation estimate of the generalization error for stable predictors in the context of risk assessment.
Cornec, Matthieu
core
lassopack: Model selection and prediction with regularized regression in Stata [PDF]
, 2019 This article introduces lassopack, a suite of programs for regularized regression in Stata. lassopack implements lasso, square-root lasso, elastic net, ridge regression, adaptive lasso and post-estimation OLS.
Athey S. +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source