Results 281 to 290 of about 1,737,261 (319)

Bayes Prediction for a Stratified Regression Superpopulation Model Using Balanced Loss Function

Communications in Statistics - Theory and Methods, 2010
We consider the stratified regression superpopulation model and obtain Bayes predictor of the finite population mean under Zellner's two-criterion balanced loss function (BLF). BLF predictor simplifies to a linear combination of the sample and predictive means. Furthermore, it reduces to some of the well-known classical and Bayes predictors.
Ashok K. Bansal, Priyanka Aggarwal
openaire   +1 more source

Supervised Mineral Prospectivity Mapping via Class-Balanced Focal Loss Function on Imbalanced Geoscience Datasets

Mathematical Geosciences, 2023
Zhiqiang Zhang, Yingjie Li, Gongwen Wang, E. Carranza, Shuren Yang, Deming Sha, Junjie Fan, X. Zhang, Yulong Dong   +8 more
semanticscholar   +1 more source

Inadmissibility of the Stein-rule estimator under the balanced loss function

Journal of Econometrics, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Adaptive Real-Time Multi-Loss Function Optimization Using Dynamic Memory Fusion Framework: A Case Study on Breast Cancer Segmentation

Biomedical Signal Processing and Control
Deep learning has proven to be a highly effective tool for a wide range of applications, significantly when leveraging the power of multi-loss functions to optimize performance on multiple criteria simultaneously. However, optimal selection and weighting
Amin Golnari, Mostafa Diba
semanticscholar   +1 more source

Efficient balanced focal loss function for manipulated images detection

2021 Fifth International Conference On Intelligent Computing in Data Sciences (ICDS), 2021
Fatima Zahra El Biach, Imad Iala, Hicham Laanaya, Khalid Minaoui   +3 more
openaire   +1 more source

SLACE: A Monotone and Balance-Sensitive Loss Function for Ordinal Regression

Proceedings of the AAAI Conference on Artificial Intelligence
Ordinal regression classifies an object to a class out of a given set of possible classes, where labels possess a natural order. It is relevant to a wide array of domains including risk assessment, sentiment analysis, image ranking, and recommender systems. Like common classification, the primary goal of ordinal regression is accuracy. Yet, in this
Inbar Nachmani, Bar Genossar, Coral Scharf, Roee Shraga, Avigdor Gal   +4 more
openaire   +1 more source

A General Class of Minimax Shrinkage Estimators Under the Balanced Loss Function

Journal of Statistical Theory and Practice
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Antibiotic resistance in the patient with cancer: Escalating challenges and paths forward

Ca-A Cancer Journal for Clinicians, 2021
Amila K Nanayakkara, Vance G Fowler, Kevin Outterson   +2 more
exaly  

Credibility estimators with dependence structure over risks and time under balanced loss function

, 2018
Qiang Zhang, Ping Chen
semanticscholar   +1 more source

The performance of the adaptive optimal estimator under the extended balanced loss function

, 2017
Nimet Özbay, Selahattin Kaçıranlar
semanticscholar   +1 more source