Zobrazeno 1 - 10
of 3 225
pro vyhledávání: '"Quadir A"'
Autor:
Quadir, A., Tanveer, M.
One of the major difficulties in machine learning methods is categorizing datasets that are imbalanced. This problem may lead to biased models, where the training process is dominated by the majority class, resulting in inadequate representation of t
Externí odkaz:
http://arxiv.org/abs/2410.20335
In the domain of machine learning, least square twin support vector machine (LSTSVM) stands out as one of the state-of-the-art models. However, LSTSVM suffers from sensitivity to noise and outliers, overlooking the SRM principle and instability in re
Externí odkaz:
http://arxiv.org/abs/2410.17338
Alzheimer's disease (AD) is a leading neurodegenerative condition and the primary cause of dementia, characterized by progressive cognitive decline and memory loss. Its progression, marked by shrinkage in the cerebral cortex, is irreversible. Numerou
Externí odkaz:
http://arxiv.org/abs/2410.14207
Publikováno v:
27th International Conference on Pattern Recognition (ICPR), 2024
In this paper, we propose enhanced feature based granular ball twin support vector machine (EF-GBTSVM). EF-GBTSVM employs the coarse granularity of granular balls (GBs) as input rather than individual data samples. The GBs are mapped to the feature s
Externí odkaz:
http://arxiv.org/abs/2410.05786
Autor:
Quadir, Abdul, Jafri, Haider Hasan
We study extreme events in a finite-size 2D Abelian sandpile model, specifically focusing on avalanche area and size. Employing the approach of Block Maxima, the study numerically reveals that the rescaled distributions for the largest avalanche size
Externí odkaz:
http://arxiv.org/abs/2410.05705
Publikováno v:
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture ModelsTwin support vector machine (TSVM) is an emerging machine learning model with versatile applicability in classification and regression endeavors.
Externí odkaz:
http://arxiv.org/abs/2410.04774
Autor:
Islam, Md. Touhidul, Chowdhury, Md. Abtahi Majeed, Hasan, Mahmudul, Quadir, Asif, Aktar, Lutfa
Ophthalmic diseases represent a significant global health issue, necessitating the use of advanced precise diagnostic tools. Optical Coherence Tomography (OCT) imagery which offers high-resolution cross-sectional images of the retina has become a piv
Externí odkaz:
http://arxiv.org/abs/2409.17788
The random vector functional link (RVFL) network is a prominent classification model with strong generalization ability. However, RVFL treats all samples uniformly, ignoring whether they are pure or noisy, and its scalability is limited due to the ne
Externí odkaz:
http://arxiv.org/abs/2409.16735
The classification performance of the random vector functional link (RVFL), a randomized neural network, has been widely acknowledged. However, due to its shallow learning nature, RVFL often fails to consider all the relevant information available in
Externí odkaz:
http://arxiv.org/abs/2409.04743
The identification of DNA-binding proteins (DBPs) is a critical task due to their significant impact on various biological activities. Understanding the mechanisms underlying protein-DNA interactions is essential for elucidating various life activiti
Externí odkaz:
http://arxiv.org/abs/2409.02588