There is an increasing influence of machine learning in business applications, with many solutions already implemented … challenges. This paper, through a review of the available literature seeks to analyse and evaluate machine-learning techniques … application of machine learning in the management of banking risks such as credit risk, market risk, operational risk and …

There is an increasing influence of machine learning in business applications, with many solutions already implemented … challenges. This paper, through a review of the available literature seeks to analyse and evaluate machine-learning techniques … application of machine learning in the management of banking risks such as credit risk, market risk, operational risk and …

This dissertation discusses three problems from different areas of medical research and their machine learning … of mortality, complication, and travel distance. Both machine learning and optimization techniques are utilized in this … type of decision support system. Machine learning methods, such as Support Vector Machines, learn a decision function. Next …

networks, and low accuracy. To overcome these limitations, we considered a broad range of network features and employed machine … learning techniques such as genetic algorithms, distance metric learning, nearest neighbor classification, and artificial …

Vector Regression (SVR) methodology that originates from machine learning. We test the forecasting ability of the proposed …