Results 101 to 110 of about 10,242 (124)

Advancements in urban scene segmentation using deep learning and generative adversarial networks for accurate satellite image analysis. [PDF]

open access: yesPLoS One
Sangeetha SKB   +6 more
europepmc   +1 more source
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Charles Stein and invariance: Beginning with the Hunt–Stein theorem

Annals of Statistics, 2021
When statistical decision theory was emerging as a promising new paradigm, Charles Stein was to play a major role in the development of minimax theory for invariant statistical problems.
M. L. Eaton, E. George
semanticscholar   +1 more source

Assessing the Effectiveness of Weighted Information Gap Decision Theory Integrated With Energy Management Systems for Isolated Microgrids

IEEE Transactions on Industrial Informatics, 2020
In the context of microgrid, renewable energy variations are still a major concern for operators, especially in industrial applications in which microgrids are typically located in remote areas and are operated autonomously.
Mohamad‐Amin Nasr   +4 more
semanticscholar   +1 more source

Epsilon-Minimax Solutions of Statistical Decision Problems via the Hedge Algorithm

ACM Conference on Economics and Computation
We present an algorithm for obtaining ϵ-minimax solutions of statistical decision problems. We are interested in problems where i) the statistician is allowed to choose randomly among I decision rules, and ii) the statistical model may have an infinite ...
Andres Aradillas Fernandez   +5 more
semanticscholar   +1 more source

A Novel Distance Model and Cumulative Prospect Theory-Based Decision Analysis Under Intuitionistic Fuzzy Interval Environment

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
An interval-valued intuitionistic fuzzy set enhances the classical fuzzy set by integrating both interval uncertainty and the notion of hesitation, providing a more comprehensive representation of uncertainty in decision-making situations.
Anjali Sharma, Surender Singh
semanticscholar   +1 more source

Deep Minimax Classifiers for Imbalanced Datasets With a Small Number of Minority Samples

IEEE Journal on Selected Topics in Signal Processing
The concept of a minimax classifier is well-established in statistical decision theory, but its implementation via neural networks remains challenging, particularly in scenarios with imbalanced training data having a limited number of samples for ...
Hansung Choi, Daewon Seo
semanticscholar   +1 more source

Minimax-optimal trust-aware multi-armed bandits

arXiv.org
Multi-armed bandit (MAB) algorithms have achieved significant success in sequential decision-making applications, under the premise that humans perfectly implement the recommended policy.
Changxiao Cai, Jiacheng Zhang
semanticscholar   +1 more source

Statistical Games

arXiv.org
This work contains the mathematical exploration of a few prototypical games in which central concepts from statistics and probability theory naturally emerge.
József Konczer
semanticscholar   +1 more source

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