An elementary introduction to statistical learning theory
Saved in:
Main Author: | Kulkarni, Sanjeev |
---|---|
Corporate Author: | ebrary, Inc |
Other Authors: | Harman, Gilbert |
Format: | Electronic eBook |
Language: | English |
Published: |
Hoboken, N.J. :
Wiley,
c2011.
|
Series: | Wiley series in probability and statistics.
|
Subjects: | |
Online Access: | An electronic book accessible through the World Wide Web; click to view |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An elementary introduction to statistical learning theory
by: Kulkarni, Sanjeev
Published: (2011)
by: Kulkarni, Sanjeev
Published: (2011)
Pattern classification using ensemble methods
by: Rokach, Lior
Published: (2010)
by: Rokach, Lior
Published: (2010)
Pattern classification using ensemble methods
by: Rokach, Lior
Published: (2010)
by: Rokach, Lior
Published: (2010)
Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2014)
by: Alpaydin, Ethem
Published: (2014)
Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2014)
by: Alpaydin, Ethem
Published: (2014)
Kernel methods for pattern analysis
by: Shawe-Taylor, John
Published: (2004)
by: Shawe-Taylor, John
Published: (2004)
Kernel methods for pattern analysis
by: Shawe-Taylor, John
Published: (2004)
by: Shawe-Taylor, John
Published: (2004)
Machine interpretation of patterns image analysis and data mining /
Published: (2010)
Published: (2010)
Machine interpretation of patterns image analysis and data mining /
Published: (2010)
Published: (2010)
Dataset shift in machine learning
Published: (2009)
Published: (2009)
Dataset shift in machine learning
Published: (2009)
Published: (2009)
Machine learning for dummies /
by: Mueller, John Paul, et al.
Published: (2016)
by: Mueller, John Paul, et al.
Published: (2016)
Machine learning for dummies /
by: Mueller, John Paul, et al.
Published: (2016)
by: Mueller, John Paul, et al.
Published: (2016)
Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason
Published: (2015)
by: Bell, Jason
Published: (2015)
Machine learning : hands-on for developers and technical professionals /
by: Bell, Jason
Published: (2015)
by: Bell, Jason
Published: (2015)
Semi-supervised learning
Published: (2006)
Published: (2006)
Semi-supervised learning
Published: (2006)
Published: (2006)
Machine learning a probabilistic perspective /
by: Murphy, Kevin P., 1970-
Published: (2012)
by: Murphy, Kevin P., 1970-
Published: (2012)
Machine learning a probabilistic perspective /
by: Murphy, Kevin P., 1970-
Published: (2012)
by: Murphy, Kevin P., 1970-
Published: (2012)
Optimal learning
by: Powell, Warren B., 1955-
Published: (2012)
by: Powell, Warren B., 1955-
Published: (2012)
Optimal learning
by: Powell, Warren B., 1955-
Published: (2012)
by: Powell, Warren B., 1955-
Published: (2012)
Advances in learning theory methods, models, and applications /
Published: (2003)
Published: (2003)
Advances in learning theory methods, models, and applications /
Published: (2003)
Published: (2003)
Machine learning in non-stationary environments introduction to covariate shift adaptation /
by: Sugiyama, Masashi, 1974-
Published: (2012)
by: Sugiyama, Masashi, 1974-
Published: (2012)
Machine learning in non-stationary environments introduction to covariate shift adaptation /
by: Sugiyama, Masashi, 1974-
Published: (2012)
by: Sugiyama, Masashi, 1974-
Published: (2012)
Foundations of machine learning
by: Mohri, Mehryar
Published: (2012)
by: Mohri, Mehryar
Published: (2012)
Foundations of machine learning
by: Mohri, Mehryar
Published: (2012)
by: Mohri, Mehryar
Published: (2012)
Machine learning for financial engineering
by: Györfi, László
Published: (2012)
by: Györfi, László
Published: (2012)
Machine learning for financial engineering
by: Györfi, László
Published: (2012)
by: Györfi, László
Published: (2012)
Recursive spatial multiplexing for interference mitigation /
by: Shah, Syed Ibrahim Asghar
Published: (2019)
by: Shah, Syed Ibrahim Asghar
Published: (2019)
Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
by: Weisheit, Toni
Published: (2017)
by: Weisheit, Toni
Published: (2017)
Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
by: Weisheit, Toni
Published: (2017)
by: Weisheit, Toni
Published: (2017)
Learning scikit-learn : machine learning in Python /
by: Garreta, Raul
Published: (2013)
by: Garreta, Raul
Published: (2013)
Learning scikit-learn : machine learning in Python /
by: Garreta, Raul
Published: (2013)
by: Garreta, Raul
Published: (2013)
Learning with kernels support vector machines, regularization, optimization, and beyond /
by: Schölkopf, Bernhard
Published: (2002)
by: Schölkopf, Bernhard
Published: (2002)
Learning with kernels support vector machines, regularization, optimization, and beyond /
by: Schölkopf, Bernhard
Published: (2002)
by: Schölkopf, Bernhard
Published: (2002)
Similar Items
-
An elementary introduction to statistical learning theory
by: Kulkarni, Sanjeev
Published: (2011) -
Pattern classification using ensemble methods
by: Rokach, Lior
Published: (2010) -
Pattern classification using ensemble methods
by: Rokach, Lior
Published: (2010) -
Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2014) -
Introduction to machine learning /
by: Alpaydin, Ethem
Published: (2014)