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cs.LG2026
Graph-Theoretic Models for the Prediction of Molecular Measurements
Anna Niane, Prudence Djagba
Graph-theoretic approaches offer simplicity, interpretability, and low computational cost for molecular property prediction. Among these, the model proposed by Mukwembi and Nyabadz…
cs.LG2024
Inference with K-means
Alfred K. Adzika, Prudence Djagba
This thesis aims to invent new approaches for making inferences with the k-means algorithm. k-means is an iterative clustering algorithm that randomly assigns k centroids, then ass…
cs.LG2024
Pricing American Options using Machine Learning Algorithms
Prudence Djagba, Callixte Ndizihiwe
This study investigates the application of machine learning algorithms, particularly in the context of pricing American options using Monte Carlo simulations. Traditional models, s…