Hyperparameter optimization still remains the core issue in Gaussian processes (GPs) for machine learning. The classical hyperparameter optimization scheme based on maximum likelihood estimation is ...

The 30th anniversary of Java, being celebrated this year, offers a perfect opportunity to reflect on the remarkable changes ...

K-Path centrality is based on the flow of information in a graph along simple paths of length at most K. This work addresses the computational cost of estimating K-path centrality in large-scale ...

Dead code, security false positives, and idle cloud capacity are the leading drags on devops in Java environments. Here’s how to address them.