Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications (Knowledge-Based Systems) - Hardcover

Morik, Katharina; Wrobel, Stefan; Kietz, Jorg-Uwe; Emde, Werner

 
9780125062305: Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications (Knowledge-Based Systems)

Synopsis

For graduate-/research- level students and professors, this book integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge-based systems to maintain them successfully. It also reports on BLIP and MOBAL systems developed over the last decade, which illustrate a particular way of unifying knowledge acquisition and machine learning. Practically-orientated, theoretical skills have been used and tested in real-world applications.

  • Integrates machine learning with knowledge acquisition to overcome the problems of building models for knowledge based systems to maintain them successfully
  • Reports on BLIP and MOBAL systems that have been developed over the past 10 years, which illustrate a particular way of unifying knowledge acquisition and machine learning
  • Practically oriented--theoretical results have been used and tested in real-world applications from the start

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About the Author

By Katharina Morik, Stefan Wrobel, Jorg-Uwe Kietz, and Werner Emde

"About this title" may belong to another edition of this title.