Results 251 to 260 of about 3,187,155 (299)

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

open access: yesIEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

Boosted unsupervised feature selection for tumor gene expression profiles

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract In an unsupervised scenario, it is challenging but essential to eliminate noise and redundant features for tumour gene expression profiles. However, the current unsupervised feature selection methods treat all samples equally, which tend to learn discriminative features from simple samples.
Yifan Shi   +5 more
wiley   +1 more source

Key predictors of postpartum depression and anxiety symptoms among mothers in Kilifi, Kenya: a machine learning approach. [PDF]

open access: yesFront Psychiatry
Benson FN   +8 more
europepmc   +1 more source

Non-invasive mapping of the temporal processing hierarchy in the human visual cortex. [PDF]

open access: yesPLoS Comput Biol
Eickhoff K   +4 more
europepmc   +1 more source

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