Speaker: Dr Christopher Yau, University of Birmingham and The Alan Turing Institute Title: "Probabilistic approaches for optimal sequential feature acquisition" Abstract: In many real-world data-driven problems, the evidence to support decisions is gathered sequentially and not all measurements are available immediately. For instance, in medical diagnosis, a clinician may order a series of tests and, based on their outcomes, order further tests to determine the disease state of a patient. Each patient disease classification is therefore associated with a “diagnostic trajectory” charting…