Machine Learning: An Artificial Intelligence Approach, Volume II

Machine Learning An Artificial Intelligence Approach Volume II Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems The objectives of research in this area are to study trade offs betwee

  • Title: Machine Learning: An Artificial Intelligence Approach, Volume II
  • Author: Ryszard S. Michalski Tom M. Mitchell Jaime G. Carbonell
  • ISBN: 9780934613002
  • Page: 121
  • Format: Hardcover
  • Multistrategy learning is one of the newest and most promising research directions in the development of machine learning systems The objectives of research in this area are to study trade offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process Multistrategy systemMultistrategy learning is one of the newest and most promising research directions in the development of machine learning systems The objectives of research in this area are to study trade offs between different learning strategies and to develop learning systems that employ multiple types of inference or computational paradigms in a learning process Multistrategy systems offer significant advantages over monostrategy systems They are flexible in the type of input they can learn from and the type of knowledge they can acquire As a consequence, multistrategy systems have the potential to be applicable to a wide range of practical problems This volume is the first book in this fast growing field It contains a selection of contributions by leading researchers specializing in this area.

    • [PDF] ☆ Machine Learning: An Artificial Intelligence Approach, Volume II | by ✓ Ryszard S. Michalski Tom M. Mitchell Jaime G. Carbonell
      Ryszard S. Michalski Tom M. Mitchell Jaime G. Carbonell

    Ryszard S. Michalski Tom M. Mitchell Jaime G. Carbonell

    Related Posts

    One thought on “Machine Learning: An Artificial Intelligence Approach, Volume II

    Leave a Reply

    Your email address will not be published. Required fields are marked *