SVM is a machine learning algorithm ... sui table Kernel function is also crucial for every particular application of SVM. Therefore, to address the problem, we compared four kernel functions on SVM ...

In order to greatly improve the success rate of screening and reduce the cost and workload of research and development, this study proposes a novel Alzheimer-related compound identification algorithm ...

Hidden Markov Models Markov Chains can be thought of as graphs with probabilities ... Logistic regression is an algorithm that uses a logit (log-odds) function to determinant the probability of an ...

Then node2vec algorithm is applied on ... indicating that the use of graph information about sequence similarity is highly informative for predicting molecular function (MF). Among all five methods, ...

This paper compares traditional machine learning models, i.e. Support Vector Machine, k-Nearest Neighbors, Decision Tree and Random Forest, with Feedforward Neural Network and Long Short-Term Memory.