Springer
Statistical and Inductive Inference by Minimum Message Length (English, C. S. Wallace)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780387237954 |
| ISBN-10 | 038723795X |
| Author | C. S. Wallace |
Product Description
Here on GlowMirror, you'll find Statistical and Inductive Inference by Minimum Message Length filed under Springer -- everything you need to know is covered below.
About the Book
Since 1965, Prof. Wallace and others have been developing an approach tostatistical estimation, hypothesis testing, model selection and their applications in the Artificial Intelligence field of Machine Learning. The approach is based on Information Theory, using concepts from classical Shannon theory and more recent work on Algorithmic Complexity. The new approach has come to be called the Minimum Message Length principle, since it is based on t…
ISBN: 9780387237954
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Statistical and Inductive Inference by Minimum Message Length
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Statistical and Inductive Inference by Minimum Message Length is available in English on GlowMirror.
Who is the author of Statistical and Inductive Inference by Minimum Message Length?
Statistical and Inductive Inference by Minimum Message Length is authored by C. S. Wallace.
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Statistical and Inductive Inference by Minimum Message Length is published by Springer.
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At an average reading speed of 250 words per minute, reading Statistical and Inductive Inference by Minimum Message Length takes a few hours to a few days depending on reading pace.
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About the Book
Since 1965, Prof. Wallace and others have been developing an approach tostatistical estimation, hypothesis testing, model selection and their applications in the Artificial Intelligence field of Machine Learning. The approach is based on Information Theory, using concepts from class...
Is Statistical and Inductive Inference by Minimum Message Length suitable for beginners?
Whether Statistical and Inductive Inference by Minimum Message Length is suitable for beginners depends on your background in Springer. Review the product description and specifications above for details on the target audience and difficulty level.
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