Collaborative filtering-based recommender systems that rely on a single ...
Finite difference method as a popular numerical method has been widely u...
Opponent modeling has benefited a controlled agent's decision-making by
...
Super- and sub- diffusions are two typical types of anomalous diffusions...
Multi-behavior recommendation exploits multiple types of user-item
inter...
Due to its high expressiveness and speed, Deep Learning (DL) has become ...
In this work, we are interested in building the fully discrete scheme fo...
Fractional Klein-Kramers equation can well describe subdiffusion in phas...
Source location privacy (SLP) protection is an emerging research topic i...
Fractional Fokker-Planck equation plays an important role in describing
...
With the rapid development of neural network architectures and speech
pr...
We make the split of the integral fractional Laplacian as (-Δ)^s
u=(-Δ)(...
Domain adaptation has received a lot of attention in recent years, and m...
Fractional Gaussian noise models the time series with long-range depende...
The Feynman-Kac equation governs the distribution of the statistical
obs...
Domain Adaptation (DA) aims to generalize the classifier learned from th...
Uncertainty involved in computational materials modeling needs to be
qua...
The B method has facilitated the development of software by specifying t...
In this paper, we are concerned with the numerical solution for the back...
We provide a numerical algorithm for the model characterizing anomalous
...
Clinical text structuring is a critical and fundamental task for clinica...
Connections between nodes of fully connected neural networks are usually...