Results 21 to 30 of about 2,676,134 (279)
Frontiers in Plant Science, 2018 Fusarium Head Blight (FHB) has emerged in spring wheat production in Pacific Northwest during the last decade due to factors including climate changes, crop rotations, and tillage practices.
Haixiao Dong +7 more
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Local Cross-validation for Spectrum Bandwidth Choice [PDF]
, 2000 We investigate an automatic method of determining a local bandwidth for non-parametric kernel spectral density estimates at a single frequency. This procedure is a modification of a cross-validation technique for global bandwidth choices, avoiding the ...
Velasco, Carlos
core +3 more sources
Assessment of Predictor Importance with the Example of the Real Estate Market
Folia Oeconomica Stetinensia, 2016 Regression methods can be used for the valuation of real estate in the comparative approach. However, one of the problems of predictive modelling is the presence of redundant or irrelevant variables in data.
Kubus Mariusz
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Barekeng, 2021 Ketersediaan air bersih dan sanitasi yang layak merupakan salah satu tujuan dalam Sustainable Development Goals. Kualitas air cenderung mengalami penurunan terutama di daerah permukiman akibat tercemar limbah dari hasil kegiatan manusia.
Dadan Kusnandar +2 more
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Consensus Features Nested Cross-Validation [PDF]
Bioinformatics, 2020 AbstractMotivationFeature selection can improve the accuracy of machine learning models, but appropriate steps must be taken to avoid overfitting. Nested cross-validation (nCV) is a common approach that chooses the classification model and features to represent a given outer fold based on features that give the maximum inner-fold accuracy. Differential
Parvandeh, Saeid +3 more
openaire +2 more sources
Slope heuristics and V-Fold model selection in heteroscedastic regression using strongly localized bases [PDF]
, 2016 We investigate the optimality for model selection of the so-called slope heuristics, $V$-fold cross-validation and $V$-fold penalization in a heteroscedastic with random design regression context.
Navarro, Fabien, Saumard, Adrien
core +4 more sources
Improving Accuracy of Intrusion Detection Model Using PCA and optimized SVM
Journal of Computing and Information Technology, 2016 Intrusion detection is very essential for providing security to different network domains and is mostly used for locating and tracing the intruders.
Sumaiya Thaseen Ikram +1 more
doaj +1 more source
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
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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
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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