Abstract
In recent years, with the massive increase in the amount of available online information on the Internet, a need has arisen for being able to organize and
access that data in a meaningful and directed way. In this paper, special emphasis is placed on neural net- work approaches in implementing a learning agent for
text routing. A brief summary of the various important approaches used is presented. An approach for neural learning internet agents is outlined, one that uses re- current neural networks for the learning of classifying a textual stream of news information. In particular, we analyze the context of the internal memory and how it
is relevant in making classication decisions.
access that data in a meaningful and directed way. In this paper, special emphasis is placed on neural net- work approaches in implementing a learning agent for
text routing. A brief summary of the various important approaches used is presented. An approach for neural learning internet agents is outlined, one that uses re- current neural networks for the learning of classifying a textual stream of news information. In particular, we analyze the context of the internal memory and how it
is relevant in making classication decisions.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 4th International Conference on Computational Intelligence and Neuroscience: JCIS 2000, the 5th Joint Conference on Information Sciences |
| Pages | 880-884 |
| Number of pages | 5 |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | 4th International Conference on Computational Intelligence and Neuroscience - , United States Duration: 27 Feb 2000 → 3 Mar 2000 |
Conference
| Conference | 4th International Conference on Computational Intelligence and Neuroscience |
|---|---|
| Abbreviated title | JCIS 2000 |
| Country/Territory | United States |
| Period | 27/02/00 → 3/03/00 |