Tag: machine-learning
All the writing and notes filed under "machine-learning" — 2 entries.
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Sequence-NLP + attention-MIL for materials
A research log from a four-hour GitHub rabbit hole into Sidhom's DeepTCR/ATGC/somatic-mutation LLM line — what's going on architecturally, why it's substrate-independent, and a six-week bake-off plan to see whether the same recipe transfers to materials science.
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Beyond 37%: When Optimal Stopping Stops Being Useful
The classical secretary problem gives 1/e ≈ 37%, but the rule answers a question almost no one actually asks. Six simulations covering recall, cardinal payoffs, full information, two-sided choice, learned priors, and a market-timing backtest where the naive no-policy baseline beats every stopping rule.