Abstract: The primary challenge in maneuvering target tracking arises from the uncertainty in mode types and the uncertainty in maneuvering parameters, the latter of which is particularly intractable ...
Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...
Training large language models (LLMs) on heterogeneous data requires selecting minibatches that balance convergence speed with coverage across domains. Existing methods either select samples ...
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