Hybrid Quantum-Classical Algorithm for an Integrated Feature Selection and Logistic Regression Model
Abstract: Feature selection is a pivotal step in machine learning, aimed at reducing feature dimensionality and improving model performance. Conventional feature selection methods, typically framed as ...
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Quantum computing made simple for curious minds
Quantum computing is rewriting the rules of processing power by harnessing qubits, superposition, and entanglement to tackle problems classical computers can’t. From Grover’s speed-boosting searches ...
New educational resources and practical guides are making quantum algorithms more accessible to beginners, while recent breakthroughs in quantum hardware—from spin-qubit readouts to large-scale ...
Abstract: This paper introduces a new discrete StarFish Optimization Algorithm (D-SFOA) to solve a complex discrete Symmetric Travelling Salesman Problem (STSP). The discrete SFOA algorithm is ...
A primer on medieval chants, minimalist opera and everything in between. By Mitchell Kuga The origins of what we think of as Western classical music date back to the 10th century, with the development ...
medical_segmentation_system/ ├── api/ ├── classical_pipeline/ ├── data/ ├── dl_pipeline/ ├── evaluation/ ├── features ...
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