Combining latent learning with dynamic programming in the modular anticipatory classifier system

Article Abstract:

The methods to integrate latent learning with dynamic programming under the Learning Classifier System (LCS) are described. The Modular Anticipatory Classifier System (MACS) is proposed as the latest model by showing some limitations of the formalism common to Anticipatory Classifier System (ACS) and Yet Another Classifier System (YACS).

United States, Dynamic programming, Self-organizing systems

---

Classes and clusters in data analysis

Article Abstract:

A study is conducted on various clustering models to examine the relation between clusters and classes in data mining processes.

Australia, Methods, Models, Clustering (Computers), Data warehousing/data mining, Data mining, Server clustering

---

Similar abstracts:

• Abstracts: Data mining in a bicriteria clustering problem. A mixed-integer programming approach to multi-class data classification problem
• Abstracts: Optimal decisions in combining the SOM with nonlinear projection methods. The impact of preprocessing on data mining: an evaluation of classifier sensitivity in direct marketing

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.