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When Being Wrong Isn't Always the Same

On teaching decision trees to care about how they're wrong, not just whether they're wrong — and why that distinction quietly matters in reinforcement learning.

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Not Just Who to Call — Who to Call First

Predicting dropout is the easy part. The harder problem is deciding, with limited time and people, which of the hundreds of at-risk women will actually benefit from a health worker picking up the phone.

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