Reasoning-Enhanced Rare-Event Prediction with Balanced Outcome Correction
Reasoning-Enhanced Rare-Event Prediction with Balanced Outcome Correction explores Enhance rare-event prediction accuracy with LPCORP, a framework that corrects outcome biases using reasoning and logistic regression.. Commercial viability score: 5/10 in Rare-Event Prediction.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisRight for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMsViability: 3.0
- Prior WorkOverconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement LearningViability: 5.0
- Higher ViabilityRareAlert: Aligning heterogeneous large language model reasoning for early rare disease risk screeningViability: 8.0
- Higher ViabilityConformal Selective Prediction with General Risk ControlViability: 7.0
- Higher ViabilityEfficient Credal Prediction through Decalibration