Results 71 to 80 of about 2,956 (213)

Professionals Do Not Play Minimax: Evidence from Major League Baseball and the National Football League [PDF]

open access: yes
Game theory makes strong predictions about how individuals should behave in two player, zero sum games. When players follow a mixed strategy, equilibrium payoffs should be equalized across actions, and choices should be serially uncorrelated.
Kenneth Kovash, Steven D. Levitt
core  

Minimax Fairness in Machine Learning

open access: yes, 2022
The notion of fairness in machine learning has gained significant popularity in the last decades, in part due to the large number of decision-making models that are being deployed on real-world applications, which have presented unwanted behavior.
Martinez Gil, Natalia Lucienne
core  

Boosting MR Image Impulse Noise Removal With Overlapping Group Sparse Fractional-Order Total Variation and Minimax Concave Penalty

open access: yesImage Analysis and Stereology
The acquisition and transmission of magnetic resonance images are susceptible to noise, particularly impulse noise. Although the method based on the ℓ0-norm and overlapping group sparse total variation (ℓ0-OGSTV) is effective for impulse noise image ...
Wei Xue   +4 more
doaj   +1 more source

Fianlimab, a human lymphocyte activation gene‐3 monoclonal antibody, in combination with cemiplimab: Tumor‐specific expansion cohorts in advanced malignancies

open access: yesCancer, Volume 132, Issue 9, 1 May 2026.
Abstract Background The dose escalation phase of a first‐in‐human (FIH) study demonstrated acceptable safety and preliminary antitumor activity of fianlimab (anti‐lymphocyte activation gene‐3 [LAG‐3]) as monotherapy and in combination with cemiplimab (anti‐programmed cell death‐1 [PD‐1]). Here, the authors present safety and clinical activity data from
Tae Min Kim   +25 more
wiley   +1 more source

What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments [PDF]

open access: yes
The minimax argument represents game theory in its most elegant form: simple but with stark predictions. Although some of these predictions have been met with reasonable success in the field, experimental data have generally not provided results close to
Steven D. Levitt   +2 more
core  

Improving Minimax Group Fairness in Sequential Recommendation

open access: yes
Training sequential recommenders such as SASRec with uniform sample weights achieves good overall performance but can fall short on specific user groups. One such example is popularity bias, where mainstream users receive better recommendations than niche content viewers.
Krishna Acharya   +4 more
openaire   +2 more sources

Harnessing allelic variation to improve the protein content and amino acid profiles of food legumes

open access: yesCrop Science, Volume 66, Issue 3, May/June 2026.
Abstract The growing demand for safe and nutritious foods places unprecedented demands on agriculture. Widespread malnutrition in the Global South could be minimized by including legumes in predominantly cereal‐based cropping systems. Regular legume consumption provides multiple health benefits to humans, positively impacts soil health and microbiome ...
Sangam L. Dwivedi   +3 more
wiley   +1 more source

Optimal Operation of Interprovincial Hydropower System Including Xiluodu and Local Plants in Multiple Recipient Regions

open access: yesEnergies, 2019
This paper focuses on the monthly operations of an interprovincial hydropower system (IHS) connected by ultrahigh voltage direct current lines. The IHS consists of the Xiluodu Hydropower Project, which ranks second in China, and local plants in multiple ...
Jianjian Shen   +5 more
doaj   +1 more source

Other Classes of Minimax Estimators of Variance Covariance Matrix in Multivariate Normal Distribution

open access: yes, 2001
It is well known that the best equivariant estimator of the variance covariance matrix of the multivariate normal distribution with respect to the full affine group of transformation is not even minimax. Some minimax estimators have been proposed.
Hara, Hisayuki
core   +1 more source

Constrained linear minimax filter for systems with large plant uncertainties

open access: yes, 1974
This paper presents a method of designing a minimax filter in the presence of large plant uncertainties and constraints on the mean squared values of the estimates. The minimax filtering problem is reformulated in the framework of a deterministic optimal
Vathsala, S., Sarma, I. G.
core   +1 more source

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