Inverse problems involve the recovery of unknown parameters or signals from indirect and often noisy measurements. Such problems are typically ill-posed in the sense that small perturbations in the ...

A large class of inverse problems arise from a discretized Fredholm integral equation (FIE) of the first kind. With the introduction of upper and lower bounds based on prior knowledge, this may be ...

The data science doctor continues his exploration of techniques used to reduce the likelihood of model overfitting, caused by training a neural network for too many iterations. Regularization is a ...