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Gaussian Processes for Real-World Data
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About
Introduction
Gaussian Processes
Related Work
Framework
Step 1: Problem definition
Step 2: Initial data exploration
Step 3: Domain knowledge
Step 4: Set definition
Step 5: Scaling structures
Step 6: Data transformations
Step 7: Kernel design
Step 8: Model iteration
Step 9: Scaling
Step 10: Testing
Software
Case studies
Discussion
7. Discussion
Limited application of Gaussian Processes
Is parameter specification by humans the most efficient way to model complicated processes?
Efficient automation of kernel search
Research grade GP applications
Alternative methods