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  • About Us
    • About CRAIL
    • Core Objectives
    • Research Areas
    • Contact Us
  • Our Methods
    • Causal Modeling
    • Intervention Experiments
    • Prediction&Optimization
  • Research Structure
    • Causal Discovery
    • Causal Inference
    • Counterfactual Simulation
    • Intervention Experiments
    • Feedback & Optimization
  • Application Scenarios
    • Healthcare & Medicine
    • Economics & Public Policy
    • Career Development
    • Personal Legal Risk
  • More
    • Home
    • About Us
      • About CRAIL
      • Core Objectives
      • Research Areas
      • Contact Us
    • Our Methods
      • Causal Modeling
      • Intervention Experiments
      • Prediction&Optimization
    • Research Structure
      • Causal Discovery
      • Causal Inference
      • Counterfactual Simulation
      • Intervention Experiments
      • Feedback & Optimization
    • Application Scenarios
      • Healthcare & Medicine
      • Economics & Public Policy
      • Career Development
      • Personal Legal Risk
  • Home
  • About Us
    • About CRAIL
    • Core Objectives
    • Research Areas
    • Contact Us
  • Our Methods
    • Causal Modeling
    • Intervention Experiments
    • Prediction&Optimization
  • Research Structure
    • Causal Discovery
    • Causal Inference
    • Counterfactual Simulation
    • Intervention Experiments
    • Feedback & Optimization
  • Application Scenarios
    • Healthcare & Medicine
    • Economics & Public Policy
    • Career Development
    • Personal Legal Risk

Prediction&Optimization

Prediction and optimization are two interconnected concepts used in decision-making , artificial intelligence, and various scientific fields.Prediction helps forecast future outcomes, while optimization finds the best possible solution based on these predictions.

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