Emerging Paradigms in Machine Learning

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ramanna, Sheela (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης), Howlett, Robert J. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Smart Innovation, Systems and Technologies, 13
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

This  book presents fundamental topics and algorithms that form the core of machine learning (ML) research, as well as emerging paradigms in intelligent system design. The  multidisciplinary nature of machine learning makes it a very fascinating and popular area for research.  The book is aiming at...

Πίνακας περιεχομένων:

• From the content: Emerging Paradigms in Machine Learning: An Introduction
• Extensions of Dynamic Programming as a New Tool for Decision Tree Optimization
• Optimised information abstraction in granular Min/Max clustering
• Mining Incomplete Data—A Rough Set Approach
• Roles Played by Bayesian Networks in Machine Learning: An Empirical Investigation.