The Importance of Consuming Search Results, Pancakes
Last Time Last time we looked at depth first search and how it could be applied to a simple optimization problem, the pancake problem. We decomposed the pancake stacking problem into some components are very important if you want to apply heuristic search: A goal test States Actions to move between states We then looked […]
Flipping Flapjacks, Pruning Pancakes, and Depth First Steps
In the previous post in this series I spent some time trying to convince you that toy problems are worthy of your attention. In particular, I tried to sell you on the notion that the pancake problem was worthy of your attention. It isn’t necessarily because flipping flapjacks is in of itself fascinating. It’s because […]
Ridiculous Problems, Real Applications
Life is filled with compromises. Generally, we just don’t have the resources, be they time, money or and so on, to do the things we want to do as well as we’d like. While I can’t solve that problem entirely or generally, I can help you intelligently trade time for improved solutions to problems that […]
Machine Learning for Classifying Turbine Engine Performance
Introduction Machine learning is at least as old as Arthur Samuel’s attempts to improve his checkers playing programs back in the 1950s (Some Studies in Machine Learning Using the Game of Checkers), if not older still. Despite being around for decades, machine learning has received intense interest recently from the public, the scientific community, and […]
