This paper presents a stochastic modification of a limited memory BFGS method to solve bound-constrained global minimization problems with a differentiable cost function with no further smoothness. The approach is a s...
The rapid growth of machine learning(ML)across fields has intensified the challenge of selecting the right algorithm for specific tasks,known as the Algorithm Selection Problem(ASP).Traditional trial-and-error methods...
Supported by the National Natural Science Foundation of China(12271154);the Natural Science Foundation of Hunan Province(2022JJ30234);the Postgraduate Scientific Research Innovation Project of Hunan Province(CX20231032)。
The zero coprime system equivalence is one of important research in the theory of multidimensional system equivalence,and is closely related to zero coprime equivalence of multivariate polynomial matrices.We first dis...
Software defect prediction plays a critical role in software development and quality assurance processes. Effective defect prediction enables testers to accurately prioritize testing efforts and enhance defect detecti...
supported by the Natural Science Foundation of Zhejiang Province(LZ19E060002);National Natural Science Foundation of China(52150410417 and 51876186);the Fundamental Research Funds for the Central Universities,the Zhejiang-Saudi EMC2 Laboratory,and the ZJU-UIUC Institute;D.B.acknowledge the support by the King Abdullah University of Science and Technology(KAUST)Office of Sponsored Research(OSR)under Award No.OSR-CRG2018-3737.
We mathematically derived a sensitivity-based method that identifies the thermal transport physics and parameters suitable for multivariate nonlinear fits in a frequency-domain thermoreflectance(FDTR)experiment.Modern...
supported by the National Nature Science Foundation of China(12463009);the Yunnan Fundamental Research Projects(202301AV070007,202401AU070026);the"Yunnan Revitalization Talent Support Program"Innovation Team Project(202405AS350012);the Scientific Research Foundation Project of Yunnan Education Department(2023J0624,2024Y469);the GHfund A(202407016295)。
Solar activity plays an important role in influencing space weather,making it important to understand numerous aspects of spatial and temporal variations in the Sun's radiative output.High-performance deep learning mo...
supported in part by the Interdisciplinary Project of Dalian University(DLUXK-2023-ZD-001).
Multivariate time series forecasting iswidely used in traffic planning,weather forecasting,and energy consumption.Series decomposition algorithms can help models better understand the underlying patterns of the origin...
Background: In-hospital mortality is a key indicator of the quality of care. Studies so far have demonstrated the influence of patient and hospital-related factors on in-hospital mortality. Currently, new variables, s...
This study investigates the factors that impact farmers'adoption of risk management strategies(RMS)in Pakistan during times of uncertainty.The study examines farmers'adoption of RMS using both multinomial probit(MNP)a...
Uncertainty can affect both macroeconomic indicators and the environment.Countries are implementing various energy policies to combat global warming,but these policies contain some uncertainties and contradictions.The...