Abstract for the AI seminar, 9th October
Maozu Guo, Harbin Institute of Technology
Extension Matrix and Its Algorithms
As we know, inductive learning, or learning from examples, has been
one of the main methods in machine learning. There are mainly two
groups of algorithms about inductive learning. One groups is covering
algorithms such as AQ15 with the learning results in rules; another is
divide-and-conquer algorithms such as ID3 with the learning results in
decision tree.
In this seminar, I would like to discuss the third group of
algorithms, which are based on extension matrix. First, the concept of
extension matrix (EM) is given with an illustrating example. Then, the
algorithms based on EM are discussed including AE1, AE9 and so on.
Finally, we can propose some applications of EM.