You might also like

More about Multistrategy Learning

• Book details
• Synopsis
• Trending among others

You get 498 loyalty points

Book synopsis

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 monostrategy 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 m ultistrategy systems , 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.§Multistrategy Learning contains contributions characteristic of the current research in this area.§

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Multistrategy Learning
• Subtitle: A Special Issue of MACHINE LEARNING
• Author: Ryszard S. Michalski
• Language: English
• Binding: Paperback
• Number of pages: 155
• EAN: 9781461364054
• ISBN: 1461364051
• ID: 02076575
• Publisher: Springer, Berlin
• Weight: 260 g
• Dimensions: 235 × 155 × 9 mm
• Date of publishing: 08. October 2012

Trending among others

---

---

---