Results 161 to 170 of about 1,057,367 (187)
Some of the next articles are maybe not open access.

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   +3 more
openaire   +1 more source

A note on Pitman's measure of closeness with balanced loss function

Statistics, 2012
In this note, we consider the problem of estimating an unknown parameter θ in the sense of the Pitman's measure of closeness (PMC) using the balanced loss function (BLF). We show that the PMC comparison of estimators under the BLF can be reduced to the PMC comparison under the usual absolute error loss. The Pitman-closest estimators of the location and
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   +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   +2 more
exaly  

An improvement of James-Stein estimator under the balanced loss function

Journal of the Korean Data And Information Science Society, 2023
In-Bong Choi, Hoh-Yoo Baek, Jeong-Mi Lee
openaire   +1 more source

Recurrent pregnancy loss

Nature Reviews Disease Primers, 2020
Evdokia Dimitriadis   +2 more
exaly  

Home - About - Disclaimer - Privacy