Results 11 to 20 of about 10,283,828 (367)
Regression analysis makes up a large part of supervised machine learning, and consists of the prediction of a continuous independent target from a set of other predictor variables.
D. Chicco, M. Warrens, Giuseppe Jurman
semanticscholar +1 more source
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression [PDF]
Intersection over Union (IoU) is the most popular evaluation metric used in the object detection benchmarks. However, there is a gap between optimizing the commonly used distance losses for regressing the parameters of a bounding box and maximizing this ...
S. H. Rezatofighi +5 more
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Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression [PDF]
Bounding box regression is the crucial step in object detection. In existing methods, while ℓn-norm loss is widely adopted for bounding box regression, it is not tailored to the evaluation metric, i.e., Intersection over Union (IoU).
Zhaohui Zheng +5 more
semanticscholar +1 more source
Collaborative regression [PDF]
13 pages, 4 ...
Gross, Samuel M., Tibshirani, Robert
openaire +3 more sources
In any manufacturing setup, reaming operation is always prominent and present because of ever increasing demands for improved quality of the manufactured products. At the same time, new engineering materials make the process challenging. Further, reaming
M. C. Rakshith +2 more
doaj +1 more source
Wetland has been substantially decreased by anthropogenic activities worldwide, requiring urgent conservation action. The present study aimed to analyze the effects of land use land cover change on wetland dynamics from 1992 to 2022 in Jimma City ...
Yifru Waktole Berkessa +7 more
doaj +1 more source
In this study, cone production, altitude and growth characteristics (height, diameter at breast height and crown diameter) were related, and also some genetics parameters were estimated.
Durmuş Çetinkaya, Mahmut Çerçioğlu
doaj +1 more source
Branch and bound method for regression-based controlled variable selection [PDF]
Self-optimizing control is a promising method for selection of controlled variables (CVs) from available measurements. Recently, Ye, Cao, Li, and Song (2012) have proposed a globally optimal method for selection of self-optimizing CVs by converting the ...
Cao, Yi, Kariwala, Vinay, Ye, Lingjian
core +1 more source
Background: The number of Mendelian randomization analyses including large numbers of genetic variants is rapidly increasing. This is due to the proliferation of genome-wide association studies, and the desire to obtain more precise estimates of causal ...
J. Bowden, G. Davey Smith, S. Burgess
semanticscholar +1 more source
The solution of a TU cooperative game can be a distribution of the value of the grand coalition, i.e. it can be a distribution of the payo (utility) all the players together achieve.
A. Chevan +17 more
core +1 more source

