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Found 6 papers, 3 papers with code
Large Scale Generative AI Text Applied to Sports and Music
We address the problem of scaling up the production of media content, including commentary and personalized news stories, for large-scale sports and music events worldwide.
Deep Artificial Intelligence for Fantasy Football Language Understanding
The use of trained statistical entity detectors and document2vector models applied to over 100, 000 news sources and 2. 3 million articles, videos and podcasts each day enables the system to comprehend natural language with an analogy test accuracy of 100% and keyword test accuracy of 80%.
Large Scale Diverse Combinatorial Optimization: ESPN Fantasy Football Player Trades
Team managers can quickly discover that their team has a low score ceiling even if they start their best active players.
Knowledge-Based Hierarchical POMDPs for Task Planning
The main goal in task planning is to build a sequence of actions that takes an agent from an initial state to a goal state.
Meta-learning of textual representations
Recent progress in AutoML has lead to state-of-the-art methods (e. g., AutoSKLearn) that can be readily used by non-experts to approach any supervised learning problem.
Shift-Share Designs: Theory and Inference
We study inference in shift-share regression designs, such as when a regional outcome is regressed on a weighted average of sectoral shocks, using regional sector shares as weights.
