Model Selection Through Cross-Validation for Supervised Learning Tasks with Manifold Data
Model Selection Through Cross-Validation for Supervised Learning Tasks with Manifold Data is a scholarly work, published in 2024 in ''Journal of Purdue Undergraduate Research''. The main subjects of the publication include selection (genetic algorithm), model selection, artificial intelligence, facial recognition system, artificial neural network, machine learning, cross-validation, pattern recognition, and computer science. Model Selection Through Cross-Validation for Supervised Learning Tasks with Manifold Data.