| Knowledge Acquisition and Machine Learning: Theory, Methods, and Applications Contributor(s): Morik, Katharina (Author), Wrobel, Stefan (Author), Kietz, Jorg-Uwe (Author) |
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ISBN: 0125062303 ISBN-13: 9780125062305 Publisher: Academic Press OUR PRICE: $124.30 Product Type: Hardcover - Other Formats Published: September 1993 * Not available - Not in print at this time * |
| Additional Information |
| BISAC Categories: - Computers | Expert Systems - Computers | Data Modeling & Design - Computers | Programming - General |
| Dewey: 006.33 |
| Series: Knowledge-Based Systems |
| Physical Information: 0.96" H x 6.25" W x 9.3" (1.30 lbs) 305 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |