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Most machine learning research has been concerned with the development of systems that implememnt one type of inference within a single representational paradigm. Such systems, which can be called learning systems, include those for empirical induction of decision trees or rules, explanation-based generalization, neural net learning from examples, genetic algorithm-based learning, and others. Monostrategy learning systems can be very effective and useful if learning problems to which they are applied are sufficiently narrowly defined.
Many real-world applications, however, pose learning problems that go beyond the capability of monostrategy learning methods. In view of this, recent years have witnessed a growing interest in developing , which integrate two or more inference types and/or paradigms within one learning system. Such multistrategy systems take advantage of the complementarity of different inference types or representational mechanisms. Therefore, they have a potential to be more versatile and more powerful than monostrategy systems. On the other hand, due to their greater complexity, their development is significantly more difficult and represents a new great challenge to the machine learning community.
contains contributions characteristic of the current research in this area.
Produkteigenschaften
- Artikelnummer: 9780792393740
- Medium: Buch
- ISBN: 978-0-7923-9374-0
- Verlag: Springer Us
- Erscheinungstermin: 30.06.1993
- Sprache(n): Englisch
- Auflage: Nachdrucked from MACHINE LEARNING, 11:2-3, 1993
- Serie: The Springer International Series in Engineering and Computer Science
- Produktform: Gebunden
- Gewicht: 431 g
- Seiten: 155
- Format (B x H x T): 166 x 244 x 16 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Wissensbasierte Systeme, Expertensysteme
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Forschung und Information
- Kybernetik, Systemtheorie, Komplexe Systeme
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Wissensbasierte Systeme, Expertensysteme