A randomization mechanism for realizing granular models in distributed system modeling
暂无分享,去创建一个
Witold Pedrycz | Xiubin Zhu | Zhiwu Li | Dan Wang | W. Pedrycz | Zhiwu Li | Xiubin Zhu | Dan Wang
[1] Witold Pedrycz,et al. Granular Fuzzy Regression Domain Adaptation in Takagi–Sugeno Fuzzy Models , 2018, IEEE Transactions on Fuzzy Systems.
[2] Madhu S. Nair,et al. Image reconstruction from random samples using multiscale regression framework , 2016, Neurocomputing.
[3] Reza Aghajani,et al. The hydrodynamic limit of a randomized load balancing network , 2017, The Annals of Applied Probability.
[4] Witold Pedrycz,et al. Development of granular models through the design of a granular output spaces , 2017, Knowl. Based Syst..
[5] Lotfi A. Zadeh,et al. Toward a generalized theory of uncertainty (GTU)--an outline , 2005, Inf. Sci..
[6] Witold Pedrycz,et al. Granular Data Aggregation: An Adaptive Principle of the Justifiable Granularity Approach , 2019, IEEE Transactions on Cybernetics.
[7] J. Domingo-Ferrer,et al. Multi-Dimensional Randomized Response , 2020, IEEE Transactions on Knowledge and Data Engineering.
[8] Witold Pedrycz,et al. From fuzzy rule-based models to their granular generalizations , 2017, Knowl. Based Syst..
[9] Witold Pedrycz,et al. Cluster-Centric Fuzzy Modeling , 2014, IEEE Transactions on Fuzzy Systems.
[10] Pierre Moulin,et al. On Information-Theoretic Characterizations of Markov Random Fields and Subfields , 2019, IEEE Transactions on Information Theory.
[11] Yiyu Yao,et al. Three-way granular computing, rough sets, and formal concept analysis , 2020, Int. J. Approx. Reason..
[12] Yubo Du,et al. Asynchronous Stochastic Gradient Descent Over Decentralized Datasets , 2021, IEEE Transactions on Control of Network Systems.
[13] Tsau Young Lin,et al. Topological and Fuzzy Rough Sets , 1992, Intelligent Decision Support.
[14] Wen Yu,et al. Randomized algorithms for nonlinear system identification with deep learning modification , 2016, Inf. Sci..
[15] Dejan J. Sobajic,et al. Learning and generalization characteristics of the random vector Functional-link net , 1994, Neurocomputing.
[16] Witold Pedrycz,et al. Hierarchical System Modeling , 2018, IEEE Transactions on Fuzzy Systems.
[17] Jinhai Li,et al. Granule description in knowledge granularity and representation , 2020, Knowl. Based Syst..
[18] Richa Singh,et al. Adaptive latent fingerprint segmentation using feature selection and random decision forest classification , 2017, Inf. Fusion.
[19] Chang-Dong Wang,et al. A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems , 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[20] Witold Pedrycz,et al. Granular Computing: Perspectives and Challenges , 2013, IEEE Transactions on Cybernetics.
[21] María José del Jesús,et al. KEEL: a software tool to assess evolutionary algorithms for data mining problems , 2008, Soft Comput..
[22] Wei-Zhi Wu,et al. A comparison study of similarity measures for covering-based neighborhood classifiers , 2018, Inf. Sci..
[23] Peng-Bo Zhang,et al. A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+ , 2017, Neural Networks.
[24] Y. Takefuji,et al. Functional-link net computing: theory, system architecture, and functionalities , 1992, Computer.
[25] Wen Yu,et al. Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[26] Ming Li,et al. Insights into randomized algorithms for neural networks: Practical issues and common pitfalls , 2017, Inf. Sci..
[27] Giuseppe Marino,et al. Object similarity measures and Pawlak's indiscernibility on decision tables , 2020, Inf. Sci..
[28] Degang Chen,et al. Information fusion and numerical characterization of a multi-source information system , 2018, Knowl. Based Syst..
[29] Fabio Roli,et al. Randomized Prediction Games for Adversarial Machine Learning , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[30] Witold Pedrycz,et al. A Development of Granular Input Space in System Modeling , 2019, IEEE Transactions on Cybernetics.
[31] Wang-Chien Lee,et al. Querying Distributed Spatial Datasets with Unknown Regions , 2014, IEEE Transactions on Knowledge and Data Engineering.
[32] Qinghua Hu,et al. Neighborhood rough set based heterogeneous feature subset selection , 2008, Inf. Sci..
[33] Ian C. Marschner,et al. Random Ordering of Semiprimes , 2018, Exp. Math..
[34] W. Pedrycz,et al. Construction and Evaluation of Information Granules: From the Perspective of Clustering , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[35] Witold Pedrycz,et al. A Development of Hierarchically Structured Granular Models Realized Through Allocation of Information Granularity , 2021, IEEE Transactions on Fuzzy Systems.
[36] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[37] Rajeev Motwani,et al. Randomized Algorithms , 1995, SIGA.
[38] Lotfi A. Zadeh,et al. From Computing with Numbers to Computing with Words - from Manipulation of Measurements to Manipulation of Perceptions , 2005, Logic, Thought and Action.
[39] Witold Pedrycz,et al. Building the fundamentals of granular computing: A principle of justifiable granularity , 2013, Appl. Soft Comput..
[40] Huaxiang Zhang,et al. RWO-Sampling: A random walk over-sampling approach to imbalanced data classification , 2014, Inf. Fusion.
[41] Hyun Ah Song,et al. Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data , 2019, IEEE Transactions on Knowledge and Data Engineering.