Results 21 to 30 of about 5,039,055 (202)
RomainBey/stratified-cross-validation: pre-print code
, 2020 This release contains the code used to run the simulations of the pre-print version of the article "stratified cross-validation for privacy-preserving federated learning"
Romain Bey
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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
doaj +1 more source
Attribute Selecting in Tree-Augmented Naive Bayes by Cross Validation Risk Minimization
Mathematics, 2021 As an important improvement to naive Bayes, Tree-Augmented Naive Bayes (TAN) exhibits excellent classification performance and efficiency since it allows that every attribute depends on at most one other attribute in addition to the class variable ...
Shenglei Chen +2 more
doaj +1 more source
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
doaj +1 more source
Validation and Cross-Validation Methods for ASCAT
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017 The advanced scatterometer (ASCAT) is a fan beam scatterometer carried on board the Metop series of satellites. Its primary objective is to measure ocean backscatter for the retrieval of ocean wind vectors. Two ASCAT instruments (ASCAT-A and ASCAT-B) are operational and are independently calibrated using a number of ground-based transponders. The first
Craig Anderson 0002 +3 more
openaire +2 more sources
Efficient Cross-Validation in ILP [PDF]
, 2001 Cross-validation is a technique used in many different machine learning approaches. Straightforward implementation of this technique has the disadvantage of causing computational overhead. However, it has been shown that this overhead often consists of redundant computations, which can be avoided by performing all folds of the cross-validation in ...
Struyf, Jan, Blockeel, Hendrik
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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
doaj +1 more source
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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RomainBey/stratified-cross-validation: Addition of MIMIC-III
, 2020 Monte Carlo simulations used to study stratified cross ...
Romain Bey
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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
doaj +1 more source