Download scientific diagram | Illustration of the underfitting/overfitting issue on a simple regression case. Data points are shown as blue dots and model fits as red lines. Underfitting occurs with a linear model (left panel), a good fit with a polynomial of degree 4 (center panel), and overfitting with polynomial of degree 20 (right panel). Root mean squared error is chosen as objective function for evaluating the training error and the generalization error, assessed by using 10-fold cross-validation. from publication: An Introduction to Machine Learning | In the last few years, machine learning (ML) and artificial intelligence have seen a new wave of publicity fueled by the huge and ever‐increasing amount of data and computational power as well as the discovery of improved learning algorithms. However, the idea of a computer | Machine Learning, Clinical Pharmacology and Pharmacometrics | ResearchGate, the professional network for scientists.
Schematic graphical representation of the interpretation of a TDM
Comparison of simulated exposures using the current dosing strategy
Evaluation of Probability of Target Attainment for Different Rifampicin
The diagnosis graphs of WBC growth model including prediction and DV
Neural networks. (a) Basics of feedforward neural networks. (b)
Overview of the results of different clustering approaches. (a) Shows
Isoniazid exposure across weight bands stratified by NAT2 rs1799930
Tony Kam-Thong's research works Max Planck Institute of Psychiatry, München (MPI) and other places
Juliane Siebourg-Polster's research works
