Results 21 to 30 of about 2,623,133 (264)
, 2017 This text is a survey on cross-validation. We define all classical cross-validation procedures, and we study their properties for two different goals: estimating the risk of a given estimator, and selecting the best estimator among a given family. For the risk estimation problem, we compute the bias (which can also be corrected) and the variance of ...
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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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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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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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Bayesian cross validation for gravitational-wave searches in pulsar-timing array data [PDF]
, 2019 Gravitational-wave data analysis demands sophisticated statistical noise models in a bid to extract highly obscured signals from data. In Bayesian model comparison, we choose among a landscape of models by comparing their marginal likelihoods.
Taylor, Stephen R. +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
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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Cross-Validation Visualized: A Narrative Guide to Advanced Methods
Machine Learning and Knowledge ExtractionThis study delves into the multifaceted nature of cross-validation (CV) techniques in machine learning model evaluation and selection, underscoring the challenge of choosing the most appropriate method due to the plethora of available variants.
Johannes Allgaier, Rüdiger Pryss
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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
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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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