Tag: powered
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LLM-Powered Time-Series Analysis
LLM-Powered Time-Series Analysis Part 2: Prompts for Advanced Model Development The post LLM-Powered Time-Series Analysis appeared first on Towards Data Science. Sara Nobrega Go to original source
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How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent
How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent From prompt to strategic decision-making: MCP-powered agents for cost-efficient, reliable and sustainable supply chain network design. The post How to Connect an MCP Server for an AI-Powered, Supply-Chain Network Optimization Agent appeared first on Towards Data Science. Samir Saci Go to original…
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Imputation-Powered Inference
Imputation-Powered Inference arXiv:2509.13778v1 Announce Type: cross Abstract: Modern multi-modal and multi-site data frequently suffer from blockwise missingness, where subsets of features are missing for groups of individuals, creating complex patterns that challenge standard inference methods. Existing approaches have critical limitations: complete-case analysis discards informative data and is potentially biased; doubly robust estimators for non-monotone missingness-where…
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Prediction-Powered Adaptive Shrinkage Estimation
Prediction-Powered Adaptive Shrinkage Estimation arXiv:2502.14166v1 Announce Type: new Abstract: Prediction-Powered Inference (PPI) is a powerful framework for enhancing statistical estimates by combining limited gold-standard data with machine learning (ML) predictions. While prior work has demonstrated PPI’s benefits for individual statistical tasks, modern applications require answering numerous parallel statistical questions. We introduce Prediction-Powered Adaptive Shrinkage (PAS),…
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AI-Powered Information Extraction and Matchmaking
AI-Powered Information Extraction and Matchmaking Developing an application for extracting key profile information from CVs and recommending jobs aligned with the profile Continue reading on Towards Data Science ยป Umair Ali Khan Go to original source