Results 11 to 20 of about 349,789 (305)
On general systems with randomly occurring incomplete information [PDF]
International Journal of General Systems, 2016 In the system and control community, the incomplete information is generally regarded as the results of (1) our limited knowledge in modelling real-world systems; and (2) the physical constraints o...
Zidong Wang 0001 +2 more
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Legislative dialogues with incomplete information [PDF]
, 2019 This paper extends previous work by presenting a framework for modelling legislative deliberation in the form of dialogues with incomplete information. Roughly, in such legislative dialogues coalitions are initially equipped with different theories which
Governatori, G, Rotolo, A
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Estimation for incomplete information stochastic systems from discrete observations
Advances in Difference Equations, 2019 This paper is concerned with the estimation problem for incomplete information stochastic systems from discrete observations. The suboptimal estimation of the state is obtained by constructing the extended Kalman filtering equation.
Chao Wei
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Unscented Trainable Kalman Filter Based on Deep Learning Method Considering Incomplete Information
IEEE Access, 2023 Rapid changes of states and occurrence of data missing in power systems cause accurate state estimation very hard. In this paper, an unscented trainable Kalman filter (UTKF) with a deep learning prediction model is proposed to provide accurate state ...
Yanjie Yu, Qiang Li, Houyi Zhang
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Robust implementation under alternative information structures [PDF]
, 1995 Nash Implementation, Incomplete information, Local information, CF2, DF1, D82,
Ignacio Ortuño-Ortin +3 more
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MuReQua Chain: Multiscale Relativistic Quantum Blockchain
IEEE Access, 2021 In this paper, we introduce a new approach to fix the validation of a block and the assignment of a new block in a blockchain infrastructure by using a novel negotiation procedure.
Gerardo Iovane
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IEEE Access, 2017 Soft set is a mathematical tool for dealing with vague and imprecise data. It is used in many applications and decision-making after representing the uncertain data in the Boolean-valued information system (BIS). BISs become incomplete because of various
Muhammad Sadiq Khan +4 more
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Complex & Intelligent Systems, 2022 For incomplete datasets with mixed numerical and symbolic features, feature selection based on neighborhood multi-granulation rough sets (NMRS) is developing rapidly.
Meng Yuan +3 more
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Mathematics, 2022 The object under investigation is a controllable linear stochastic differential system affected by some external statistically uncertain piecewise continuous disturbances.
Alexey Bosov, Andrey Borisov
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Complexity, 2019 How to effectively deal with missing values in incomplete information systems (IISs) according to the research target is still a key issue for investigating IISs.
Zhaohao Wang, Xiaoping Zhang
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