Learning about the Learning Process

• Type: Article in International Conference Proceedings Book
• Date: 2011

Authors

João Gama (Author) FEP; Kosina, P (Author) Other

Conference proceedings International

Title: ADVANCES IN INTELLIGENT DATA ANALYSIS X: IDA 2011

Pages: 162-172

10th International Symposium on Intelligent Data Analysis

Porto, PORTUGAL, OCT 29-31, 2011

Indexing

ISI Web of Knowledge - 16 Citations

Scopus - 22 Citations

Other information

Authenticus ID: P-002-W6V

DOI: 10.1007/978-3-642-24800-9_17

Abstract (EN): This work addresses the problem of mining data stream generated in dynamic environments where the distribution underlying the observations may change over time. We present a system that monitors the evolution of the learning process. The system is able to self-diagnosis degradations of this process, using change detection mechanisms, and self-repairs the decision models. The system uses meta-learning techniques that characterize the domain of applicability of previously learned models. The meta-learns can detect re-occurrence of contexts, using unlabeled examples, and take pro-active actions by activating previously learned models.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11