To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...

Machine learning develops rapidly, which has made many theoretical breakthroughs and is widely applied in various fields. Optimization, as an important part of machine learning, has attracted much ...

We have added .quantQ.math namespace with various mathematical functions, constants and identities. Currently, there are constants, hyperbolic functions, number of special functions and polynomials ...