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Krause 2008 Near Optimal Sensor Placements in Gaussian Processes
Folder: Research/Applied-Bayesian-Model-Families/Decisions-and-Value-of-Information/Krause-2008---Near-Optimal-Sensor-Placements-in-Gaussian-Processes
10 items under this folder.
Nov 08, 2026
Krause 2008 - Costs, Online Bounds and Exact Optimisation
source/ingested
topic/decision-analysis
type/theorem
doc/paper
Nov 08, 2026
Krause 2008 - Entropy versus Mutual Information Criteria
source/ingested
topic/decision-analysis
type/theorem
doc/paper
Nov 08, 2026
Krause 2008 - Experiments and Empirical Findings
source/ingested
topic/decision-analysis
type/example
doc/paper
Nov 08, 2026
Krause 2008 - GP Model and Posterior Variance
source/ingested
topic/decision-analysis
type/definition
doc/paper
Nov 08, 2026
Krause 2008 - Greedy Algorithm and the 1-1 over e Guarantee
source/ingested
topic/decision-analysis
type/theorem
doc/paper
Nov 08, 2026
Krause 2008 - Lazy Evaluation and Local Kernels
source/ingested
topic/decision-analysis
type/concept
doc/paper
Nov 08, 2026
Krause 2008 - Near-Optimal Sensor Placements in Gaussian Processes - Overview
source/ingested
topic/decision-analysis
type/overview
doc/paper
Nov 08, 2026
Krause 2008 - Related Work and Why Other Criteria Lack Guarantees
source/ingested
topic/decision-analysis
type/theorem
doc/paper
Nov 08, 2026
Krause 2008 - Robust Placements
source/ingested
topic/decision-analysis
type/theorem
doc/paper
Nov 08, 2026
Index: Krause 2008 - Near-Optimal Sensor Placements in Gaussian Processes
type/index
source/ingested
topic/decision-analysis