Abstract: Aiming at the shortcomings of traditional convolutional neural network methods in capturing long-range spatial dependencies in fine-grained image recognition due to the restricted sensory ...

Abstract: The recursive least-squares (RLS) algorithm is very popular for adaptive filtering applications, mainly due to its fast convergence rate. The regularized version of this algorithm owns ...

Overview: Strong knowledge of data structures and recognizing common patterns makes complex coding questions easier and faster to solve.Thinking out loud during ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...