43 lines
1.8 KiB
Org Mode
43 lines
1.8 KiB
Org Mode
:PROPERTIES:
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:ID: c4a0d60f-49d3-4185-8c5b-f8a5a10a2ccc
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:END:
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#+title: thesis/introduction
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#+filetags: :project: :knowledge: :introduction:
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:PROPERTIES:
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:ID: thesis-introduction
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:END:
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#+title: thesis/introduction
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#+filetags: :project: :knowledge: :introduction:
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Chapter 1 of the BGU MSc thesis on ROLL. Written last, after Ch. 2–4 are stable.
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Parent: [[id:6294e2be-6189-4473-b363-a1dd9a75fb9b][thesis]]
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** Guidelines
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- Target length: 4–6 pages
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- Write last — contributions list and roadmap must match what the thesis actually delivers
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- Structure: Hook → Problem statement → Contributions → Roadmap
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- Do NOT explain the method — introduction is a promise, not a delivery
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** Structure
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1. *Hook* (~1–2 paragraphs) — concrete application where a wrong operating point is costly.
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Candidates from existing prose: medical screening, fraud detection, astronomy/microscopy pipelines.
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Make the reader feel the problem before naming it.
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2. *Problem statement* (~1 paragraph) — class imbalance + why accuracy is the wrong metric +
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the TPR@FPR objective in one crisp sentence.
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3. *Contributions* (bulleted list, ~5 items) — what ROLL does that prior work does not:
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- Differentiable TPR@FPR loss (and FPR@TPR by label/score symmetry)
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- Gaussian, Beta, KDE instantiations with closed-form gradients
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- Gradient-balance property (updates independent of class-size ratio)
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- Gradient-locality property (threshold-focused gradient mass)
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- Empirical evaluation on KEEL benchmark + larger datasets
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4. *Roadmap* (~1 paragraph) — one sentence per chapter, matching final chapter titles exactly.
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** Gotchas
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- Roadmap must exactly match final chapter titles — write it last
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- Don't use the inseparability / cascade-classifier tangent from the old draft; it dilutes the argument |