no code implementations • 23 Jan 2024 • Zardad Khan, Amjad Ali, Saeed Aldahmani
The performance of the proposed ROWSU method is evaluated on $6$ gene expression datasets.
no code implementations • 21 Mar 2023 • Amjad Ali, Muhammad Hamraz, Dost Muhammad Khan, Wajdan Deebani, Zardad Khan
Ensembles based on k nearest neighbours (kNN) combine a large number of base learners, each constructed on a sample taken from a given training data.
no code implementations • 21 Nov 2022 • Amjad Ali, Zardad Khan, Dost Muhammad Khan, Saeed Aldahmani
Each base model is constructed on a bootstrap sample with a random subset of features, and optimal models are selected based on out-of-bag performance after building a sufficient number of models.
no code implementations • 30 May 2022 • Amjad Ali, Muhammad Hamraz, Naz Gul, Dost Muhammad Khan, Zardad Khan, Saeed Aldahmani
kNN based ensemble methods minimise the effect of outliers by identifying a set of data points in the given feature space that are nearest to an unseen observation in order to predict its response by using majority voting.
no code implementations • 18 Jul 2019 • Hamid Jan, Amjad Ali, Shahid Mahmood, Gautam Srivastava
We have evaluated the quality of machine learning techniques that has been implemented in automatic fingerprint identification.