research
∙
09/13/2023
Scaled Prompt-Tuning for Few-Shot Natural Language Generation
The increasingly Large Language Models (LLMs) demonstrate stronger langu...
share
research
∙
08/12/2023
How complex is the microarray dataset? A novel data complexity metric for biological high-dimensional microarray data
Data complexity analysis quantifies the hardness of constructing a predi...
research
∙
08/12/2023
Genetic heterogeneity analysis using genetic algorithm and network science
Through genome-wide association studies (GWAS), disease susceptible gene...
research
∙
06/23/2023
Evolutionary approaches to explainable machine learning
Machine learning models are increasingly being used in critical sectors,...
research
∙
11/15/2022
Phenotype Search Trajectory Networks for Linear Genetic Programming
Genotype-to-phenotype mappings translate genotypic variations such as mu...
research
∙
10/29/2022
Empirical Evaluation of Post-Training Quantization Methods for Language Tasks
Transformer-based architectures like BERT have achieved great success in...
research
∙
02/24/2022
A spectral-spatial fusion anomaly detection method for hyperspectral imagery
In hyperspectral, high-quality spectral signals convey subtle spectral d...
research
∙
01/27/2022
DiriNet: A network to estimate the spatial and spectral degradation functions
The spatial and spectral degradation functions are critical to hyper- an...
research
∙
02/03/2019
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions
Stochastic gradient descent (SGD) is a popular and efficient method with...
research
∙
12/17/2014
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm
In this paper we study the consistency of an empirical minimum error ent...
research
∙
08/03/2012
