Results 31 to 40 of about 923,643 (274)
Efficient AUC Optimization for Information Ranking Applications
Adequate evaluation of an information retrieval system to estimate future performance is a crucial task. Area under the ROC curve (AUC) is widely used to evaluate the generalization of a retrieval system. However, the objective function optimized in many
C Cortes +6 more
core +1 more source
The decrease in growth hormone (GH) response after repeated stimulation with GH-Releasing hormone is partly caused by an elevation of somatostatin tonus. [PDF]
Repeated injection of GHRH leads to a decrease in the GH response in normal subjects. Arginine (Arg) stimulates GH secretion by suppression of hypothalamic somatostatin.
Mehltretter, Gerhard +5 more
core +1 more source
Maximization of AUC and Buffered AUC in binary classification
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Norton, Matthew, Uryasev, Stan
openaire +3 more sources
Efficient estimation of AUC in a sliding window
In many applications, monitoring area under the ROC curve (AUC) in a sliding window over a data stream is a natural way of detecting changes in the system. The drawback is that computing AUC in a sliding window is expensive, especially if the window size
A Bifet +8 more
core +1 more source
Do unbalanced data have a negative effect on LDA? [PDF]
For two-class discrimination, Xie and Qiu [The effect of imbalanced data sets on LDA: a theoretical and empirical analysis, Pattern Recognition 40 (2) (2007) 557–562] claimed that, when covariance matrices of the two classes were unequal, a (class ...
Anderson +12 more
core +1 more source
Superpave proved its superiority over other conventional methods. The Superpave system with its fundamental and flexible nature is capable of integrating more promising solutions to pavement problems. Developing countries are still straggling to shift to
Safwan Khedr, Maram Saudy
doaj +1 more source
Empirical AUC for evaluating probabilistic forecasts
Scoring functions are used to evaluate and compare partially probabilistic forecasts. We investigate the use of rank-sum functions such as empirical Area Under the Curve (AUC), a widely-used measure of classification performance, as a scoring function ...
Byrne, Simon
core +1 more source
AUC Optimisation and Collaborative Filtering [PDF]
In recommendation systems, one is interested in the ranking of the predicted items as opposed to other losses such as the mean squared error. Although a variety of ways to evaluate rankings exist in the literature, here we focus on the Area Under the ROC
Clemencon, Stephan +2 more
core +3 more sources
Temporally-aware algorithms for the classification of anuran sounds [PDF]
Several authors have shown that the sounds of anurans can be used as an indicator of climate change. Hence, the recording, storage and further processing of a huge number of anuran sounds, distributed over time and space, are required in order to ...
Carrasco Muñoz, Alejandro +3 more
core +2 more sources
ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa +3 more
wiley +1 more source

