We conduct the first empirical study on using knowledge transfer to impr...
Compiler bugs pose a significant threat to safety-critical applications,...
Few multi-agent reinforcement learning (MARL) research on Google Researc...
Zero-Shot Sketch-Based Image Retrieval (ZSSBIR) is an emerging task. The...
Traditional image detail enhancement is local filter-based or global
fil...
Pattern matching can be used to calculate the support of patterns, and i...
As a novel deep learning model, gcForest has been widely used in various...
We consider the problem of fitting a probability density function when i...
The heavy reliance on data is one of the major reasons that currently li...
Patra and Sen (2016) consider a two-component mixture model, where one
c...
We establish the consistency of K-medoids in the context of metric space...
We consider the problem of clustering with K-means and Gaussian mixture
...
Sequence labeling is a fundamental framework for various natural languag...
Cognitive task analysis (CTA) is a type of analysis in applied psycholog...
The proliferation of fake news on social media has opened up new directi...
Developers increasingly rely on text matching tools to analyze the relat...
Compilers are widely-used infrastructures in accelerating the software
d...
Recent years have witnessed the growing demands for resolving numerous b...
The popularity of blockchain technology continues to grow rapidly in bot...
Recent years, deep learning is increasingly prevalent in the field of
So...
Reproducibility is the ability of recreating identical binaries under
pr...
In this paper, we propose a Hybrid Ant Colony Optimization algorithm (HA...
The weighted Maximum Satisfiability problem (weighted MAX-SAT) is a NP-h...
Variable selection for models including interactions between explanatory...