Results 31 to 40 of about 360,925 (264)
DR potential probabilistic forecasting model of load aggregators based on ensemble learning
Day-ahead forecasting on the demand response (DR) potential of the load aggregators could provide important reference information for the quotations and volumes of load aggregators in the electricity market, thus reducing decision-making risks. Aiming at
YEERSEN Sailike +5 more
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Evidence-Theory-Based Robust Optimization and Its Application in Micro-Electromechanical Systems
The conventional engineering robustness optimization approach considering uncertainties is generally based on a probabilistic model. However, a probabilistic model faces obstacles when handling problems with epistemic uncertainty.
Zhiliang Huang +4 more
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Listening comprehension in English, as one of the most fundamental skills, has an essential role in the process of learning English. Non-parametric item Response Theory (NIRT) is a probabilistic-nonparametric approach to item response theory (IRT) which ...
Hamed Ghaemi
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Shrinking the Variance in Experts’ “Classical” Weights Used in Expert Judgment Aggregation
Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts’ elicited probability distributions of uncertain quantities. Experts’ weights are commonly derived from calibration experiments based on the
Gayan Dharmarathne +3 more
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Connection between the renormalization groups of St\"uckelberg-Petermann and Wilson
The Stueckelberg-Petermann renormalization group is the group of finite renormalizations of the S-matrix in the framework of causal perturbation theory.
Duetsch, Michael
core +1 more source
Directed expected utility networks [PDF]
A variety of statistical graphical models have been defined to represent the conditional independences underlying a random vector of interest. Similarly, many different graphs embedding various types of preferential independences, such as, for example ...
Leonelli, Manuele, Smith, Jim Q.
core +3 more sources
Lifted Variable Elimination for Probabilistic Logic Programming
Lifted inference has been proposed for various probabilistic logical frameworks in order to compute the probability of queries in a time that depends on the size of the domains of the random variables rather than the number of instances.
Bellodi, Elena +4 more
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To reduce the burden on individuals with disabilities when operating a Wheelchair Mounted Robotic Arm (WMRA), many researchers have focused on inferring users’ subsequent task intentions based on their “gazing” or “selecting” of scene objects.
Yaxin Liu +4 more
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PICALM::MLLT10 translocated leukemia
This comprehensive review of PICALM::MLLT10 translocated acute leukemia provides an in‐depth review of the structure and function of CALM, AF10, and the fusion oncoprotein (1). The multifaceted molecular mechanisms of oncogenesis, including nucleocytoplasmic shuttling (2), epigenetic modifications (3), and disruption of endocytosis (4), are then ...
John M. Cullen +7 more
wiley +1 more source
FMEA Risk Assessment Method for Aircraft Power Supply System Based on Probabilistic Language-TOPSIS
The failure mode and effect analysis (FMEA) method, which estimates the risk levels of systems or components solely based on the multiplication of simple risk rating indices, faces several limitations.
Zicheng Xiao, Zhibo Shi, Jie Bai
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