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Boson sampling finds first practical applications in quantum AI
For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key ...
Frontiers13d
Machine Learning Approach for Personalized Vancomycin Steady-State Trough Concentration Prediction: A Superior Approach Over Bayesian Population Pharmacokinetic Model - Frontiers
The random forest classification model demonstrated impressive accuracy rates of 0.99 for the training set and 0.84 for the test set. External validation further confirmed the model's generalization ...
GitHub22d
naive-bayes-classifier · GitHub Topics · GitHub
Machine Learning project using classification, regression, and ensemble techniques to predict breast cancer mortality status and survival months using clinical data. Built with scikit-learn, decision ...
IEEE28d
The Cost of Dichotomizing Continuous Labels for Binary Classification Problems: Deriving a Bayesian-Optimal Classifier - IEEE Xplore
Many pattern recognition problems involve characterizing samples with continuous labels instead of discrete categories. While regression models are suitable for these learning tasks, these labels are ...
Scientific Research Publishing1mon
Zhu, W., Song, Y. and Xiao, Y. (2020) Support Vector Machine Classifier with HUberized Pinball Loss. Engineering Applications of Artificial Intelligence, 91, Article ID 103635 ...
Zhu, W., Song, Y. and Xiao, Y. (2020) Support Vector Machine Classifier with HUberized Pinball Loss. Engineering Applications of Artificial Intelligence, 91, Article ID 103635. ... ABSTRACT: In the ...