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Found 4 papers, 2 papers with code
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning
Domain adaptation is pivotal for enabling deep learning models to generalize across diverse domains, a task complicated by variations in presentation and cognitive nuances.
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
In this article, we describe a transfer learning approach for building high-dimensional generalized linear models using data from a main study that has detailed information on all predictors, and from one or more external studies that have ascertained a more limited set of predictors.
A Simple Change Comparison Method for Image Sequences Based on Uncertainty Coefficient
For identification of change information in image sequences, most studies focus on change detection in one image sequence, while few studies have considered the change level comparison between two different image sequences.
IMMIGRATE: A Margin-based Feature Selection Method with Interaction Terms
Relief based algorithms have often been claimed to uncover feature interactions.
