My main interest is on intelligent incorporation of uncertainty into computational decision making. My main areas are in machine learning including supervised learning, reinforcement learning and optimisation.
In my current research on interactive exploratory data analysis, with HIIT at Aalto University, my focus is on optimising the results to display to users. The challenge is balancing the expected relevance of items based on the current data, versus presenting items to a user for which the feedback would be the greatest for improving the relevancy estimate, this exploration vs exploitation dilemma is addressed with the use of uncertainty in the estimates. Previous work done during my...
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