Results 31 to 40 of about 5,039,055 (202)
Research on SOC evaluation method and simulation of lithiumbattery based on echo state network
Dianzi Jishu Yingyong, 2023 Taking lithium battery of new energy vehicles as the research object,an echo state network (ESN) model is established to predict the state of charge (SOC) of the vehicle's lithium battery. The cross-validation method is used to optimize the parameters of
Du Guangbo +4 more
doaj +1 more source
A theory of cross-validation error [PDF]
Journal of Experimental & Theoretical Artificial Intelligence, 1994 This paper presents a theory of error in cross-validation testing of algorithms for predicting real-valued attributes. The theory justifies the claim that predicting real-valued attributes requires balancing the conflicting demands of simplicity and accuracy. Furthermore, the theory indicates precisely how these conflicting demands must be balanced, in
openaire +4 more sources
Using Machine Learning and Feature Selection for Alfalfa Yield Prediction
AI, 2021 Predicting alfalfa biomass and crop yield for livestock feed is important to the daily lives of virtually everyone, and many features of data from this domain combined with corresponding weather data can be used to train machine learning models for yield
Christopher D. Whitmire +5 more
doaj +1 more source
CROSS-VALIDATION ADJUSTMENT FOR MODEL SELECTION WITH CORRELATED DATA
, 2021 In the context of general linear models, often techniques are used with an independence assumption. Unfortunately, this assumption often does not hold in real data.
Adeeb, Ebrahim
core
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
doaj +1 more source
Compressed Sensing With Cross Validation [PDF]
IEEE Transactions on Information Theory, 2009 Compressed Sensing decoding algorithms can efficiently recover an N dimensional real-valued vector x to within a factor of its best k-term approximation by taking m = 2klog(N/k) measurements y = Phi x. If the sparsity or approximate sparsity level of x were known, then this theoretical guarantee would imply quality assurance of the resulting compressed
openaire +2 more sources
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
doaj +1 more source
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
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
Entropy, 2023 The House-Tree-Person (HTP) sketch test is a psychological analysis technique designed to assess the mental health status of test subjects. Nowadays, there are mature methods for the recognition of depression using the HTP sketch test.
Huayi Wang +3 more
doaj +1 more source