Results 71 to 80 of about 21,150,821 (215)

On surrogate loss functions and $f$-divergences

, 2008
The goal of binary classification is to estimate a discriminant function $\gamma$ from observations of covariate vectors and corresponding binary labels.
Jordan, Michael I., Nguyen, XuanLong, Wainwright, Martin J.   +2 more
core   +4 more sources

Generalization Bounds in the Predict-then-Optimize Framework

, 2021
The predict-then-optimize framework is fundamental in many practical settings: predict the unknown parameters of an optimization problem, and then solve the problem using the predicted values of the parameters. A natural loss function in this environment
Balghiti, Othman El, Elmachtoub, Adam N., Grigas, Paul, Tewari, Ambuj   +3 more
core  

Improving the maize crop row navigation line recognition method of YOLOX

Frontiers in Plant Science
The accurate identification of maize crop row navigation lines is crucial for the navigation of intelligent weeding machinery, yet it faces significant challenges due to lighting variations and complex environments.
Hailiang Gong, Weidong Zhuang, Xi Wang
doaj   +1 more source

Colposcopic Image Segmentation Based on Feature Refinement and Attention

IEEE Access
The current computer-aided diagnosis for cervical cancer screening encounters issues with missing detailed information during colposcopic image segmentation and incomplete edge delineation.
Yuxi He, Liping Liu, Jinliang Wang, Nannan Zhao, Hangyu He   +4 more
doaj   +1 more source

DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model

Sensors
Interest in anti-UAV detection systems has increased due to growing concerns about the security and privacy issues associated with unmanned aerial vehicles (UAVs).
Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Zhenghai Liu   +5 more
doaj   +1 more source

A Note on Forecasting the Rate of Change of the Price of Oil: Asymmetric Loss and Forecast Rationality

Economies, 2013
We study whether forecasts of the rate of change of the price of oil are rational. To this end, we consider a model that allows the shape of forecasters’ loss function to be studied.
Christian Pierdzioch, Jan-Christoph Rülke   +1 more
doaj   +1 more source

The Macroeconomic Loss Function: A Critical Note [PDF]

The standard loss function counts both positive and negative deviations from the output and inflation targets as losses. But if the sample period is long enough, then output growth in excess of the target, and often also inflation rates that are below ...
Thomas Mayer
core  

MambaPose: A Human Pose Estimation Based on Gated Feedforward Network and Mamba

Sensors
Human pose estimation is an important research direction in the field of computer vision, which aims to accurately identify the position and posture of keypoints of the human body through images or videos.
Jianqiang Zhang, Jing Hou, Qiusheng He, Zhengwei Yuan, Hao Xue   +4 more
doaj   +1 more source

Forecasting the Brazilian Real and the Mexican Peso: Asymmetric Loss, Forecast Rationality, and Forecaster Herding [PDF]

Using forecasts of the Brazilian real and the Mexican peso, we analyze the shape of the loss function of exchange-rate forecasters and the rationality of their forecasts.
Christian Pierdzioch, Georg Stadtmann, Jan-Christoph Ruelke, Ulrich Fritsche   +3 more
core  

Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8

Meitan kexue jishu
Wearing personal protective equipment is an important means to ensure the safety of mine personnel. It is an important task of mine safety management to carry out mine personnel protective equipment monitoring.
Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI   +5 more
doaj   +1 more source