Alzheimer's disease (AD) is the leading neurodegenerative disorder and primary cause of
dementia. Researchers are increasingly drawn to automated diagnosis of AD using …

Twin support vector machine (TSVM) is an emerging machine learning model with versatile
applicability in classification and regression endeavors. Nevertheless, TSVM confronts …

The random vector functional link (RVFL) network is a prominent classification model with
strong generalization ability. However, RVFL treats all samples uniformly, ignoring whether …

The random vector functional link (RVFL) network is well-regarded for its strong
generalization capabilities in the field of machine learning. However, its inherent …

Broad learning system (BLS) is a breadth-based learning algorithm based on single-layer
feedforward network (SLFN), which has the advantages of incremental learning with its fast …

Broad learning system (BLS) is an effective neural network requiring no deep architecture,
however it is somehow fragile to noisy data. The previous robust broad models directly map …

The broad network (BN) based on random feature extraction has fast computational nature.
However, it usually suffers from redundant features due to its randomization in dealing with …

The ensemble deep random vector functional link (edRVFL) neural network has
demonstrated the ability to address the limitations of conventional artificial neural networks …

The Broad Learning System Forest (BLSF) model proved to be the preeminent classifier
across all assessed datasets, demonstrating outstanding performance and efficiency. In the …

The classification performance of the random vector functional link (RVFL), a randomized
neural network, has been widely acknowledged. However, due to its shallow learning …