You might also like

Availability alert

More about Phase Transitions in Machine Learning

• Book details
• Synopsis
• Trending among others

You get 255 loyalty points

Book synopsis

Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Phase Transitions in Machine Learning
• Author: Lorenza Saitta
• Language: English
• Binding: Hardback
• Number of pages: 410
• EAN: 9780521763912
• ISBN: 0521763916
• ID: 04354069
• Publisher: Cambridge University Press
• Weight: 1016 g
• Dimensions: 248 × 265 × 30 mm
• Date of publishing: 16. June 2011

Trending among others

---

---

---