Results 31 to 40 of about 2,623,133 (264)
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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Multifidelity Cross-Validation
AIAA AVIATION FORUM AND ASCEND 2024arXiv admin note: text overlap with arXiv:2203 ...
Renganathan, S. Ashwin, Carlson, Kade
openaire +2 more sources
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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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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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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Efficient algorithms for decision tree cross-validation
, 2001 Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward implementation of the technique is its computational overhead.
Blockeel, Hendrik, Struyf, Jan
core +4 more sources
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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Multiplicative local linear hazard estimation and best one-sided cross-validation [PDF]
, 2017 This paper develops detailed mathematical statistical theory of a new class of cross-validation techniques of local linear kernel hazards and their multiplicative bias corrections.
Gámiz Pérez, M. L. +2 more
core +1 more source
Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis +9 more
wiley +1 more source
On Estimating Model in Feature Selection With Cross-Validation
IEEE Access, 2019 Both wrapper and hybrid methods in feature selection need the intervention of learning algorithm to train parameters. The preset parameters and dataset are used to construct several sub-optimal models, from which the final model is selected. The question
Chunxia Qi, Jiandong Diao, Like Qiu
doaj +1 more source