Deep Probabilistic Learning in Hidden Social Networks and Facsimile Detection

摘要

Many social processes such as applications for bank credits, insurances or social services are digitized as Big Data, hosting hidden social networks. While social learning is fundamental for human intelligence, convolutional neural networks and deep learning extend the foundation of artificial intelligence. Deep Probabilistic Learning is a multidisciplinary approach of probabilistic machine learning introduced for Big Data analysis and hidden social networks mining. It is presented in this paper along with experimental outcomes in frauds detection related to facsimile problems.