Three high-risk Windows kernel flaws were among the fixes included in Microsoft’s September 2025 Patch Tuesday updates released today. In all, the Patch Tuesday September 2025 updates included fixes ...
Introduction: Image and near-infrared (NIR) spectroscopic data are widely used for constructing analytical models in precision agriculture. While model interpretation can provide valuable insights for ...
🧠 Support Vector Machines (SVM) for Breast Cancer Classification 📌 Objective Use Support Vector Machines (SVMs) for binary classification of breast cancer (Malignant vs. Benign). The project ...
Momentum investing is all about the idea of following a stock's recent trend, which can be in either direction. In the "long context," investors will essentially be "buying high, but hoping to sell ...
I propose adding a Multiple Kernel Learning (MKL) module for kernel optimization in kernel-based methods (such as SVM) to scikit-learn. MKL is a more advanced approach compared to GridSearchCV, ...
Abstract: Support Vector Machine (SVM) is a widely used algorithm for classification, valued for its flexibility with kernels that effectively handle non-linear problems and high-dimensional data.
Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...
Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. CNN excel in ...
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