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44 papers · 1 filter
Progressive Sampling-Based Bayesian Optimization for Efficient and Automatic Machine Learning Model Selection
Xueqiang Zeng, Gang Luo
Purpose: Machine learning is broadly used for clinical data analysis. Before training a model, a machine learning algorithm must be selected. Also, the values of one or more model…
Meromorphic solutions of delay differential equations related to logistic type and generalizations
Ling Xu, Tingbin Cao
Let be meromorphic functions, and let be admissible meromorphic solutions of delay differential equation $$w'(z)=w(z)\left[\frac{P(z, w(z))}{Q(z,w(z))}+\s…
Nevanlinna theory for Jackson difference operators and entire solutions of q-difference equations
Tingbin Cao, Huixin Dai, Jun Wang
This paper establishes a version of Nevanlinna theory based on Jackson difference operator for meromorphic functions of zero order in the comple…
Towards a Fisher-information description of complexity in de Sitter universe
Chong-Bin Chen, Fu-Wen Shu
Recent developments on holography and quantum information physics suggest that quantum information theory come to play a fundamental role in understanding quantum gravity. Cosmolog…
Texture variation adaptive image denoising with nonlocal PCA
Wenzhao Zhao, Qiegen Liu, Yisong Lv +1
Image textures, as a kind of local variations, provide important information for human visual system. Many image textures, especially the small-scale or stochastic textures are ric…
On compact Riemannian manifolds with harmonic weyl curvature
Haiping Fu, Huiya He
We give some rigidity theorems for an n-dimensional compact Riemannian manifold with harmonic Weyl curvature, positive scalar curvature and positive constant . Moreov…