Results 1 to 10 of about 6,031 (199)

Candidate stability and probabilistic voting procedures [PDF]

Economic Theory, 2006
We extend the analysis of Dutta, Jackson and Le Breton (Econometrica, 2001) on strategic candidacy to probabilistic environments. For each agenda and each profile of voters’ preferences over running candidates, a probabilistic voting procedure selects a lottery on the set of running candidates.
Carmelo Rodriguez-Alvarez
exaly   +3 more sources

Performance enhancement method by using the probabilistic estimation for kidney tumor segmentation [PDF]

Frontiers in Oncology
PurposeEnsemble methods can enhance segmentation performance, but their effectiveness depends on the integration strategy. We investigated whether the STAPLE algorithm’s probabilistic framework could effectively leverage model diversity from different ...
Wonjoong Cheon, Meangee Kim, Meangee Kim, Mira Han, Se Byeong Lee, Dongho Shin, Young Kyung Lim, Jong Hwi Jeong, Yoonsun Chung, Haksoo Kim   +9 more
doaj   +2 more sources

Machine learning analysis of drug solubility via green approach to enhance drug solubility for poor soluble medications in continuous manufacturing [PDF]

Scientific Reports
The development of continuous pharmaceutical manufacturing is crucial and can be analyzed via advanced computational models. Machine learning is a strong computational paradigm that can be integrated into a continuous process to enhance the drugs ...
Ahmed A. Lahiq, Abdullah A. Alshehri, Shaker T. Alsharif   +2 more
doaj   +2 more sources

RDE-DR: robust deep ensemble CNNs for automated diabetic retinopathy detection from fundus images [PDF]

Scientific Reports
Diabetic retinopathy (DR) is a leading cause of preventable blindness, motivating the development of reliable automated screening systems. This work proposes a Robust Deep Ensemble for Diabetic Retinopathy detection (RDE-DR) by analyzing ensemble fusion ...
Ishaq Aiche, Youcef Brik, Bilal Attallah, Oussama Bouguerra, Abdelaziz Rabehi, Mustapha Habib, Doaa Sami Khafaga, El-Sayed M. El-kenawy   +7 more
doaj   +2 more sources

Strategic Ambiguity with Probabilistic Voting [PDF]

Journal of Theoretical Politics, 2019
Political parties and candidates usually prefer making ambiguous promises. This study identifies the conditions under which candidates choose ambiguous promises in equilibrium, given convex utility functions of voters. The results show that in a deterministic model, no equilibrium exists when voters have convex utility functions.
Yasushi Asako
exaly   +2 more sources

Modeling the political choice of public health insurance

Frontiers in Applied Mathematics and Statistics, 2023
This article aimed to study the choice that people have to make between two health insurance systems in a monopolistic scheme. The first health insurance system proposes a uniform contribution level and the second one proposes a contribution level that ...
Abdou Khadre Dit Jadir Fall
doaj   +1 more source

Primary node election based on probabilistic linguistic term set with confidence interval in the PBFT consensus mechanism for blockchain

Complex & Intelligent Systems, 2022
This study proposes a primary node election method based on probabilistic linguistic term set (PLTS) for the practical Byzantine fault tolerance (PBFT) consensus mechanism to effectively enhance the efficiency of reaching consensus. Specifically, a novel
Mingyue Xie, Jun Liu, Shuyu Chen, Guangxia Xu, Mingwei Lin   +4 more
doaj   +1 more source

A majority voting classifier with probabilistic guarantees [PDF]

2015 IEEE Conference on Control Applications (CCA), 2015
This paper deals with supervised learning for classification. A new general purpose classifier is proposed that builds upon the Guaranteed Error Machine (GEM). Standard GEM can be tuned to guarantee a desired (small) misclassification probability and this is achieved by letting the classifier return an unknown label.
Giorgio Manganini, Alessandro Falsone, Maria Prandini   +2 more
openaire   +2 more sources

A Novel Model of Mimic Defense Based on Minimal L-Order Error Probability

IEEE Access, 2020
Mimic defense is an active defense theory, which aims to fundamentally change the “easy to attack and difficult to defend” situation of network security.
Guoxi Chen, Guang Shi, Liquan Chen, Xiaoyuan He, Shengmao Jiang   +4 more
doaj   +1 more source

Negative campaigning in a probabilistic voting model [PDF]

Public Choice, 2013
This paper extends the small existing theoretical literature on negative campaigning, building on work by Harrington and Hess (Games Econ Behav 17:209–229, 1996). While their analysis explores the determinants of negative campaign spending using a classic spatial voting model, this paper relies instead on a probabilistic voting model, extending the use
Jan K. Brueckner, Kangoh Lee
openaire   +3 more sources