Multi-View Conformal Learning for Heterogeneous Sensor Fusion

arXiv:2402.12307v1 Announce Type: new
Abstract: Being able to assess the confidence of individual predictions in machine learning models is crucial for decision making scenarios. Specially, in critical applications such as medical diagnosis, security, and unmanned vehicles, to name a few. In the last years, complex predictive models have had great success in solving hard tasks and new methods are being proposed every day. While the majority of new developments in machine learning models focus on improving the overall performance, less …

abstract applications arxiv confidence cs.ai cs.lg decision decision making diagnosis fusion machine machine learning machine learning models making medical predictions predictive predictive models security sensor success type vehicles view