- Introduction
- Simple Solutions
- Memory Based Learning
- Using Locally Weighted Learning for Modeling
- ``Hands-off'' non-parametric relation finding
- Low dimensional supervised learning
- Complex function of a subset of inputs
- Simple function of most inputs, but complex function of a few
- Complex function of a few features of many inputs
- Pros and cons vs. neural networks
- When should locally weighted learning be used?

- The Information Provided by a Learned Local Model
- Bayesian Locally Weighted Regression
- Efficient Data Storage and Retrieval
- Autonomous Modeling
- Decisions with Locally Weighted Models
- References
- About this document ...

Fri Feb 7 18:00:08 EST 1997