Asymmetric normed spaces extend the classical framework of normed spaces by allowing the distance function to lack the symmetry property. This refinement facilitates the capture of directional or ...
The observed near flatness of galactic rotation curves has long been interpreted as evidence for large amounts of non-baryonic dark matter. Here we show that this phenom ...
Abstract: Model-based methods for state of charge estimation in Lithium-Ion batteries have been widely employed. In this paper a novel filtering model-based algorithm is developed to estimate the ...
Metric spaces form the backbone of modern computational geometry by providing a rigorous framework for measuring distances within abstract sets, while geometric approximation algorithms yield ...
Abstract: This study introduces a brand-new swarm-inspired algorithm dubbed dholes hunting-based optimization (DhoH) based on an animal hunting strategy to solve global optimization problems. The ...
@Note: Please cite the following papers if you use the tool developed in this package. A Unified Approach for Learning the Parameters of Sum-Product Networks by H. Zhao, P. Poupart and G. Gordon, NIPS ...
This course provides an in-depth exploration of algorithm design and analysis, focusing on key paradigms, efficiency, and real-world problem-solving. Students will practice implementation and analysis ...
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