Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Kernel methods and support vector machines (SVMs) serve as cornerstones in modern machine learning, offering robust techniques for both classification and regression tasks. At their core, kernel ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 45, No. 2 (1996), pp. 135-150 (16 pages) Motivated by the line transect aerial surveys of Southern Bluefin Tuna in the sea ...

This is a preview. Log in through your library . Abstract When conducting line transect sampling to estimate the abundance of a clustered wildlife population, detection of a school depends not only on ...

Quantum information scientists have introduced a new method for machine learning classifications in quantum computing. The non-linear quantum kernels in a quantum binary classifier provide new ...

This series of articles starts with the fundamental Kernel object and gradually deepens into key areas such as AI service integration, Function Calling, prompt engineering, and plugin development.