-45% OFFFoundations of Inductive Logic Programming (English, Shan-Hwei Nienhuys-Cheng | Ronald De Wolf)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783540629276 |
| ISBN-10 | 3540629270 |
| Author | Shan-Hwei Nienhuys-Cheng | Ronald De Wolf |
Product Description
Here on GlowMirror, you'll find Foundations of Inductive Logic Programming filed under Programming -- everything you need to know is covered below.
About the Book
Inductive Logic Programming is a young and rapidly growing field combining machine learning and logic programming. This self-contained tutorial is the first theoretical introduction to ILP; it provides the reader with a rigorous and sufficiently broad basis for future research in the area. In the first part, a thorough treatment of first-order logic, resolution-based theorem proving, and logic programming is given. The second part introduces the…
ISBN: 9783540629276
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Foundations of Inductive Logic Programming
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Programming
Who Should Read This
Developers, data scientists, and students learning to code.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
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A prelude to automated scientific discovery
Inductive logic programming (ILP) has come a long way since the early work of the 1970's. The last decade saw the field explode due to practical inductive programming languages being developed. The ability of machines to engage not only in experimentation but also in scientific hypothesis generation that is competitive with human scientists has recently been reported in the literature. It remains to be seen how efficacious these machines are in producing useful scientific hypothesis, but the fac
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