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Inference of reversible decision diagrams for modelling adders
Prihozhy, A. A.
conjunction, exclusive-or and constants. We propose a technique of inferring ternary reversible decision
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network
Wang Shangshang, Jing Yuqin, Wang Kezhu, Wang Xue
) systems by employing collaborative inference, an approach that is gaining popularity because to its
Object detection on images based on YOLOX
Gao Haoxuan
the YOLOX model for inference to complete target detection, including image preprocessing, decode outputs
Exact statistical inferences and Monte Carlo method
Simushkin S.
© 2014, Pleiades Publishing, Ltd. It is shown that in some situations, for example, models
Exact statistical inferences and Monte Carlo method
Simushkin S.
© 2014, Pleiades Publishing, Ltd. It is shown that in some situations, for example, models
Planning the Behavior of an Autonomous Flying Robot in a Subtask Space. Inference Procedures
Khachumov M.V., Melekhin V.B.
of logical inference procedures are found, which confirm that the proposed knowledge representation model
Method of reducing the computational complexity of fuzzy inference algorithms for implementation on a microcontroller with limited computational resources
Zhartybayeva, M. G., Tatur, M. M., Shaverdo, M. M., Iskakov, K. T., Татур, М. М.
In our work we suggest the most effective ways to reduce the complexity of computing fuzzy inference
Diffusion models' calibration by means of Bayesian inference and Euler-Maruyama method
Aronova Y.V.
Diffusion models are a well-known mathematical framework for describing complex dynamic systems
Inferring sentiment-based priors in topic models
Tutubalina E., Nikolenko S.
new approach to automatically infer sentiment-based β priors in topic models for sentiment analysis
Applying Bayesian inference to calibrate local volatility model parameters
Aronova Y.V.
in modern finance theory, where they are applied in modelling key financial variables such as short

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