Quantum Computing, Quantum Algorithms, Quantum Machine Learning, Code, Artificial Intelligence.
correctness (e.g., yi​ (w⋅xi​ + b) ≥ 1) must hold for all data points i in the dataset, where yi​ is the class label, xi​ is the input vector, and i indexes over all data points. Decision Hyperplane in the Feature Space In the context of SVM, w is a weight vector that is perpendicular (orthogonal)