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A new genetic algorithm for nonlinear multiregressions based on generalized Choquet integrals

The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004
This paper gives a new genetic algorithm for nonlinear multiregression based on generalized Choquet integrals with respect to signed fuzzy measures. Unlike the previous work where the values of the signed fuzzy measure are determined by random search in a genetic algorithm with other regression coefficients together; in this new algorithm, they are ...
null Zhenyuan Wang, null Hai-Feng Guo
openaire   +1 more source

A Hybrid Nonlinear Classifier Based on Generalized Choquet Integrals

2004
In this new hybrid model ofnonlinear classifier, unlike the classical linear classifier where the feature attributes influence the classifying attribute independently, the interaction among the influences from the feature attributes toward the classifying attribute is described by a signed fuzzy measure. An optimized Choquet integral with respect to an
Zhenyuan Wang   +3 more
openaire   +1 more source

A Nonlinear Integral Which Generalizes Both the Choquet and the Sugeno Integral

2010
The Choquet and the Sugeno integral provide a useful tool in many problems in engineering and social choice where the aggregation of data is required. However, their applicability is somehow restricted because of the special operations used in the construction of these integrals.
Erich Peter Klement   +2 more
openaire   +1 more source

A new model of nonlinear multiregressions by projection pursuit based on generalized Choquet integrals

2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003
A nonlinear multiregression model is presented based on the generalized Choquet integral with respect to a signed fuzzy measure. In this model, the interaction among predictive attributes toward the objective attribute is depicted by a signed fuzzy measure.
openaire   +1 more source

Geometry-Aware Active Learning of Pattern Rankings via Choquet-Based Aggregation

arXiv.org
We address the pattern explosion problem in pattern mining by proposing an interactive learning framework that combines nonlinear utility aggregation with geometry-aware query selection.
Tudor Matei Opran, Samir Loudni
semanticscholar   +1 more source

Federated Choquet Regression with LASSO for Outcome Prediction in Multisite Longitudinal Trial Data

ACM Transactions on Computing for Healthcare
Aggregating person-level data across multiple clinical study sites is often constrained by privacy regulations, necessitating the development of decentralized modeling approaches in biomedical research.
Semyon Lomasov, Hua Fang, Honggang Wang
semanticscholar   +1 more source

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

The mechanisms of integral membrane protein biogenesis

Nature Reviews Molecular Cell Biology, 2021
Ramanujan Shankar Hegde, Robert J Keenan
exaly  

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