Suchergebnisse - "Inference algorithms"

Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art von Warne, David J, Baker, Ruth E, Simpson, Matthew J

“… Stochasticity is a key characteristic of intracellular processes such as gene regulation and chemical signalling. Therefore, characterizing stochastic effects …”
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Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments von Bing, Zhenshan, Lerch, David, Huang, Kai, Knoll, Alois

“… In recent years, the subject of deep reinforcement learning (DRL) has developed very rapidly, and is now applied in various fields, such as decision making and control tasks …”
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Joint Activity and Channel Estimation for Extra-Large MIMO Systems von Iimori, Hiroki, Takahashi, Takumi, Ishibashi, Koji, de Abreu, Giuseppe Thadeu Freitas, Gonzalez G., David, Gonsa, Osvaldo

“… Extra large MIMO (XL-MIMO) systems are subject to spatial non-stationarity forming visibility regions (VRs …”
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A Generative Model for Image Segmentation Based on Label Fusion von Sabuncu, Mert R, Yeo, B T Thomas, Van Leemput, K, Fischl, Bruce, Golland, Polina

“… The resulting inference algorithms rely on pairwise registrations between the test image and individual training images …”
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Grant-Free Access for Extra-Large MIMO Systems Subject to Spatial Non-Stationarity von Iimori, Hiroki, Takahashi, Takumi, Rou, Hyeon Seok, Ishibashi, Koji, Freitas de Abreu, Giuseppe Thadeu, Gonzalez G., David, Gonsa, Osvaldo

“… ) systems subject to spatial non-stationarity phenomena by means of a Bayesian bilinear inference framework …”
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Accelerated Graph Learning From Smooth Signals von Saboksayr, Seyed Saman, Mateos, Gonzalo

“… We consider network topology identification subject to a signal smoothness prior on the nodal observations …”
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Cramér-Rao Bound Optimization for Bistatic ISAC: Transceiver Design and Attention-Based ISACNet von Mao, Weihao, Lu, Yang, Pan, Gaofeng, An, Jianping, Ai, Bo, Ng, Derrick Wing Kwan

“… The closed-form expression for the Cramér-Rao bound (CRB) for target positions and reflection coefficients is derived and minimized subject to constraints of the transmit power budget and communication requirements …”
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A Real-Time Neural Representation via Algorithm-Hardware Synergy for Sparse-View CT Reconstruction von Li, Xin, Wan, Haochuan, Long, Kangjie, Wu, Qing, Du, Chenhe, Su, Ying, Luo, Zhe, Lou, Xin, Zhang, Yuyao

“… However, since INR-based approaches rely on subject-specific training, they require a significant investment of time to optimize from scratch …”
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Open-Set Gait Recognition From Sparse mmWave Radar Point Clouds von Mazzieri, Riccardo, Pegoraro, Jacopo, Rossi, Michele

“… ) from sparse mmWave radar point clouds. Unlike most existing research, which assumes a closed-set scenario, our work considers the more realistic open-set case, where unknown subjects might be present at inference time, and should be …”
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Coordinated Pilot Transmissions for Detecting the Signal Sparsity Level in Massive IoT Networks von Lopez, Onel L. A., Brante, Glauber, Souza, Richard D., Juntti, Markku, Latva-aho, Matti

“… ) transmission phase using shared UL pilot symbols for channel compensation. We propose a signal sparsity level detector and analytically assess its accuracy when network channels are subject to Rayleigh …”
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Offloading Algorithms for Maximizing Inference Accuracy on Edge Device in an Edge Intelligence System von Fresa, Andrea, Champati, Jaya Prakash

“… With the emergence of edge computing, the problem of offloading jobs between an Edge Device (ED) and an Edge Server (ES) received significant attention in the …”
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CiGNN: A Causality-Informed and Graph Neural Network Based Framework for Cuffless Continuous Blood Pressure Estimation von Liu, Lei, Lu, Huiqi, Whelan, Maxine, Chen, Yifan, Ding, Xiaorong

“… Causalityholds profound potentials to dissipate confusion and improve accuracy in cuffless continuous blood pressure (BP) estimation, an area often neglected …”
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Accurate and Real-Time Hierarchical Ensemble Network for Activity Classification in Construction Worker von Zuo, Guoyu, Wu, Qifei, Gao, Wenbin, Li, Cheng, Sun, Liangkun, Yu, Shuangyue

“… Accurate and real-time locomotion classification is crucial for exoskeletons to assist construction workers in completing multiple tasks. However, …”
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Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms von Alaa, Ahmed M., van der Schaar, Mihaela

“… We investigate the problem of estimating the causal effect of a treatment on individual subjects from observational data …”
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A Fuzzy Inference Model to Identify the Current Industry Maturity Stage in the Transformation Process to Industry 4.0 von Gomes, Alexandre de Oliveira, Basilio, Joao C.

“… 0 is subject to two major sources of imprecision, namely ambiguity and vagueness. In this paper, we introduce an Industry X …”
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Analysis of Multiscale Corticomuscular Coupling Networks Based on Ordinal Patterns von Liu, Lantian, Gao, Yunyuan, Meng, Ming, Houston, Michael, Zhang, Yingchun

“… The coupled analysis of corticomuscular function based on physiological electrical signals can identify differences in causal relationships between …”
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Large Scale Network Embedding: A Separable Approach von Song, Guojie, Zhang, Liang, Li, Ziyao, Li, Yi

“… Many successful methods have been proposed for learning low-dimensional representations on large-scale networks, while almost all existing methods are designed …”
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Task Assignment Scheme Designed for Online Urban Sensing Based on Sparse Mobile Crowdsensing von Zeng, Hongjian, Xiong, Yonghua, She, Jinhua, Yu, Anjun

“… Sparse mobile crowdsensing (SMCS) achieves urban-scale environmental sensing by assigning tasks to workers in specific subareas and inferring global data from …”
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A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control von Ajiboye, A.B., Weir, R.Fff

“… Five subjects were investigated (three with intact limbs, one with a unilateral …”
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Human Intention Inference Using Expectation-Maximization Algorithm With Online Model Learning von Ravichandar, Harish Chaandar, Dani, Ashwin P.

“… An algorithm called adaptive-neural-intention estimator (ANIE) is presented to infer the intent of a human operator's arm movements based on the observations …”
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