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Optimal information blending with measurements in the L
2
sphere
Boris Defourny
, Ilya O. Ryzhov
, Warren Buckler Powell
Operations Research & Financial Engineering
High Meadows Environmental Institute
Center for Statistics & Machine Learning
Research output
:
Contribution to journal
›
Article
›
peer-review
3
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Scopus citations
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Dive into the research topics of 'Optimal information blending with measurements in the L
2
sphere'. Together they form a unique fingerprint.
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Keyphrases
Linear Combination
100%
Nonconvex
100%
Optimal Information
100%
Semidefinite Relaxation
50%
Linear Programming
50%
Robust Optimization
50%
Active Learning Methods
50%
Blending Problem
50%
Uncertainty Reduction
50%
Expected Improvement Criterion
50%
Information Collection
50%
Bayesian Belief
50%
Optimal Blending
50%
Informational Value
50%
Sequential Information
50%
Risk-averse Decision
50%
Continuous Optimization Problem
50%
Blending Strategy
50%
Convex Approximation
50%
Decision Maker
50%
Random Noise
50%
Economic Approach
50%
Computer Science
Linear Combination
100%
Approximation (Algorithm)
50%
Optimization Problem
50%
Objective Function
50%
Linear Program
50%
Robust Optimization
50%
Decision Maker
50%
Continuous Optimization
50%
Active Learning
50%
Semidefinite Programming
50%
Informational Value
50%
Economic Approach
50%
Engineering
Linear Combination
100%
Objective Function
50%
Optimisation Problem
50%
Linear Program
50%
Risk Averse
50%
Collection Problem
50%
Decision Maker
50%
Performed Measurement
50%
Mathematics
Linear Combination
100%
Objective Function
50%
Linear Program
50%
Bayesian
50%
Refines
50%
Decision Maker
50%
Random Noise
50%
Economics, Econometrics and Finance
Robust Statistics
100%