DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
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
Optimal ridge estimation in the restricted logistic semiparametric regression models using generalized cross-validation. [PDF]
Roozbeh M.
europepmc +1 more source
Neonatal tetanus in undocumented migrant families in Saudi Arabia: outcomes and critical care resource utilization in a 10-year tertiary PICU cohort. [PDF]
Al-Harbi S +5 more
europepmc +1 more source
Boosted unsupervised feature selection for tumor gene expression profiles
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]
Benson FN +8 more
europepmc +1 more source
Non-Destructive Intelligent Microwave Sensing of Water Content in Sand-Water Mixtures Using S-Parameter Features and PLS Regression. [PDF]
Çakır M.
europepmc +1 more source
Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data. [PDF]
Kumar PR +3 more
europepmc +1 more source
Non-invasive mapping of the temporal processing hierarchy in the human visual cortex. [PDF]
Eickhoff K +4 more
europepmc +1 more source
LGBTQ+ related social media and website communication before and after 2025 executive orders from the top 50 ranked US medical schools. [PDF]
Bodor SD +3 more
europepmc +1 more source
Assessing the effects of population aging on health financing structures: evidence from APEC countries using panel data. [PDF]
Nal M, Durmuş V, Şahin G, Bektaş G.
europepmc +1 more source

