PNAS

The kernel energy method of quantum mechanical approximation carried to fourth-order terms

The kernel energy method (KEM) combines structural crystallographic information with quantum mechanical theory. KEM may be described as the determination of the quantum mechanical molecular energy by ...
IEEE

Ensemble kernel method: SVM classification based on game theory

Abstract: With the development of the support vector machine (SVM), the kernel function has become one of the cores of the research on SVM. To a large extent, the kernel function determines the ...
PNAS

The Kernel Energy Method: Application to a tRNA

The Kernel Energy Method (KEM) may be used to calculate quantum mechanical molecular energy by the use of several model chemistries. Simplification is obtained by mathematically breaking a large ...
Microsoft

Learning a robust relevance model for search using kernel methods

This paper points out that many search relevance models in information retrieval, such as the Vector Space Model, BM25 and Language Models for Information Retrieval, can be viewed as a similarity ...
GitHub

Kernel-Adaptive-Filtering-in-Python

Kernel method is one of the most popular method in the area of adaptive filtering and signal processing. The reason behind this is the combination of the famed kernel trick and the adaptive filters ...
Frontiers

A novel approach to attention mechanism using kernel functions: Kerformer

The Transformer model and its variants have emerged as state-of-the-art approaches in various Artificial Intelligence (AI) tasks, including natural language processing (Devlin et al., 2018), computer ...
IEEE

A new compositional kernel method for multiple kernels

Abstract: While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Most multiple kernels methods try to average out the ...