Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Abstract: As increasing demands for recognizing social environment and/or human activity using sensory devices and video cameras, streaming data has become one of major data types. The applications ...
ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...
Abstract: Searching for symbolic models plays an important role in a wide range of domains such as neural architecture search and automatic program synthesis. Genetic programming is a promising ...
Researchers have developed a new method called wavefunction matching to tackle the sign problem in Monte Carlo simulations, a common issue in quantum many-body physics. By simplifying the interaction ...
Reinforcement learning (RL) is a specialized area of machine learning where agents are trained to make decisions by interacting with their environment. This interaction involves taking action and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback