Amazon doesn’t provide an index, but the title was promising enough that I bought one. The date looks good too, as it was after I know much of the original papers were completed.
What you want are his general framework for analyzing generalization problems, and his application of that framework to Stacked Generalization and No Free Lunch Theorems in machine learning and Search/Optimization.
Sorry I don’t have better details, but the papers are in storage, and I read them 15+ years ago.
Amazon doesn’t provide an index, but the title was promising enough that I bought one. The date looks good too, as it was after I know much of the original papers were completed.
What you want are his general framework for analyzing generalization problems, and his application of that framework to Stacked Generalization and No Free Lunch Theorems in machine learning and Search/Optimization.
Sorry I don’t have better details, but the papers are in storage, and I read them 15+ years ago.
Thanks anyway, I’ll look up the papers. :)