Algorithmic Learning in a Random World

• Κύριοι συγγραφείς: Vovk, Vladimir (Συγγραφέας), Gammerman, Alexander (Συγγραφέας), Shafer, Glenn (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2005.
• Θέματα: Computer science.; Data structures (Computer science).; Artificial intelligence.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Statistics and Computing/Statistics Programs.; Data Structures, Cryptology and Information Theory.

Conformal prediction is a valuable new method of machine learning. Conformal predictors are among the most accurate methods of machine learning, and unlike other state-of-the-art methods, they provide information about their own accuracy and reliability. This new monograph integrates mathematical th...

Πίνακας περιεχομένων:

• Conformal prediction
• Classification with conformal predictors
• Modifications of conformal predictors
• Probabilistic prediction I: impossibility results
• Probabilistic prediction II: Venn predictors
• Beyond exchangeability
• On-line compression modeling I: conformal prediction
• On-line compression modeling II: Venn prediction
• Perspectives and contrasts.