Building adaptive knowledge bases for evolving continual learning models
This section details a new method for adapter-based, task-free continual learning utilizing a policy optimization approach to decide tasks. First,...
Models
Fast Machine Learning Models -Nearest Neighbour Regression Rivals Kernel Ridge Regression For Atmospheric Molecular Clusters
Understanding the initial stages of aerosol particle formation remains a significant challenge in climate modelling, and researchers continually seek more...
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite improvements in training methods and...
A comparative analysis of parametric survival models and machine learning methods in breast cancer prognosis
Theophilus Gyedu Baidoo and Hansapani8 evaluated both survival-specific and machine learning models using performance metrics such as the concordance index...
Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors
This section presents an ablation study analyzing the impact of different splitting ratios, comparing model performance across various optimizers and...
Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification
Experimental setupThis study implemented models using Python, an NVIDIA RTX-3090 GPU, Windows 10 Professional, and an Intel i7 processor with...
