default search action
International Journal of Approximate Reasoning, Volume 131
Volume 131, April 2021
- Mohit Kumar, Sukhvir Singh, Bernhard Freudenthaler:
Gaussian fuzzy theoretic analysis for variational learning of nested compositions. 1-29
- Natan T'Joens, Jasper De Bock, Gert de Cooman:
A particular upper expectation as global belief model for discrete-time finite-state uncertain processes. 30-55 - Fábio Gagliardi Cozman:
Graphoid properties of concepts of independence for sets of probabilities. 56-79
- Hui Cui, Guanli Yue, Li Zou, Xin Liu, Ansheng Deng:
Multiple multidimensional linguistic reasoning algorithm based on property-oriented linguistic concept lattice. 80-92 - Cheng Cheng, Chunping Li, Youfang Han, Yan Zhu:
A semi-supervised deep learning image caption model based on Pseudo Label and N-gram. 93-107
- Andrey G. Bronevich, Igor N. Rozenberg:
The measurement of relations on belief functions based on the Kantorovich problem and the Wasserstein metric. 108-135
- Tommaso Flaminio:
On standard completeness and finite model property for a probabilistic logic on Łukasiewicz events. 136-150
- Anthony C. Constantinou, Yang Liu, Kiattikun Chobtham, Zhigao Guo, Neville Kenneth Kitson:
Large-scale empirical validation of Bayesian Network structure learning algorithms with noisy data. 151-188
- Qing Chang, Hongjun Zhou:
Distributivity of N-ordinal sum fuzzy implications over t-norms and t-conorms. 189-213
- Nguyen Duy Hung, Van-Nam Huynh:
Revealed preference in argumentation: Algorithms and applications. 214-251
- Roman Ilin:
Detection of rare events with uncertain outcomes. 252-267
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.