Learning form continuous financial systems play a vital role in enterprise operations.One of the most sophisticated non-parametric supervised learning classifiers, SVM (Support Vector Machines), provides robust and accurate results, however it may require intense computation and other resources.The heart of SLT (Statistical Learning Theory), SRM (S
The information dimension of the modern security environment is characterized by complexity, the abundance of unstructured information and numerous conflicts that are fought through information warfare.The stated complexity of the modern information dimension and the problem of correctly perceiving the security environment raises the question of ap
Circulating antibody-secreting cells are present in the peripheral blood of healthy individuals reflecting the continued activity of the humoral immune system.Antibody-secreting cells typically express CD27.Here we Construction describe and characterize a small population of antibody-secreting class switched CD19+CD43+ B cells that lack expression
Due to the development of the computer vision, machine learning, and deep learning technologies, the research community focuses not only on the traditional SLAM problems, such as geometric mapping and localization, but also on semantic SLAM.In this paper, we propose a Semantic SLAM system which builds the semantic maps with object-level entities, a