核函数与核矩阵的特点不仅仅在判断核是否有效时有用,主要的用途是可以用来

The characteristics of kernel function and kernel matrix are not only useful in judging whether the kernel is valid, but the main purpose is to prove some rules, so as to combine simple kernel functions to obtain more complex and useful kernel functions. In other words, performing such operations on one or several cores maintains the semi-definite nature of the "core". It is said that the kernel function is closed under these operations. These properties include the calculation of the kernel function, as well as the direct calculation of the kernel matrix. Even if the feature space is changed after calculation, as long as the result of the calculation is always a positive semi-definite matrix, the data can be embedded in the feature space.

The characteristics of nuclear functions and nuclear matrices are not only useful in judging whether a nucleus is effective, but are mainly used to prove rules that combine simple nuclear functions to obtain more complex and useful nuclear functions. In other words, performing such operations on one or more cores maintains the semi-positive nature of the "core". It is said that the nuclear function is closed under these operations. These properties include the operation of the nuclear function, as well as the direct operation of the nuclear matrix. Even if the feature space changes by operation, the data can be embedded in the feature space as long as the result of the operation is always a semi-positive matrix.

The characteristics of kernel function and kernel matrix are not only useful in judging whether the kernel is valid or not, but also can be used to prove some rules, so as to combine simple kernel functions to obtain more complex and useful kernel functions. In other words, such an operation on one or more kernels preserves the positive semidefinite property of the kernel. The kernel function is said to be closed under these operations. These properties include the operation of kernel function and the direct operation of kernel matrix. Even if the feature space is changed after operation, the data can be embedded into the feature space as long as the result of operation is always positive semidefinite matrix.<br>