Research
Varma’s team published a paper that exploded the number of choices that could be considered from a search engine from five thousand to ten million. This changed the nature of the game and led to…
Northwest Database Society Annual Meeting Session 3: Open-Source Technologies for Streaming and State Management, Improving Optimistic Concurrency Control Through Transaction Batching and Operation Reordering, Towards a Learning Optimizer for Shared Clouds, and more. Agenda: 1:15…
Northwest Database Society Annual Meeting Session 2: Urban Data Systems, Democratize Data Preparation for AI, CutTheTail, Integrity Constraints Revisited: From Exact to Approximate Implication, Automating Machine Learning Model Building with Big Clinical Data and more.…
Modern machine learning models can accurately predict patient progress and outcomes, however, they are not interpretable in the sense that they do not explain why selected features make sense or why a particular prediction result…
In classic supervised machine learning, a learning agent behaves as a passive observer: it receives examples from some external environment which it has no control over and then makes predictions. Reinforcement Learning (RL), on the…
