An elementary introduction to statistical learning theory
I tiakina i:
Kaituhi matua: | Kulkarni, Sanjeev |
---|---|
Kaituhi rangatōpū: | ebrary, Inc |
Ētahi atu kaituhi: | Harman, Gilbert |
Hōputu: | Tāhiko īPukapuka |
Reo: | Ingarihi |
I whakaputaina: |
Hoboken, N.J. :
Wiley,
c2011.
|
Rangatū: | Wiley series in probability and statistics.
|
Ngā marau: | |
Urunga tuihono: | An electronic book accessible through the World Wide Web; click to view |
Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
Ngā tūemi rite
Pattern classification using ensemble methods
mā: Rokach, Lior
I whakaputaina: (2010)
mā: Rokach, Lior
I whakaputaina: (2010)
Introduction to machine learning /
mā: Alpaydin, Ethem
I whakaputaina: (2014)
mā: Alpaydin, Ethem
I whakaputaina: (2014)
Machine interpretation of patterns image analysis and data mining /
I whakaputaina: (2010)
I whakaputaina: (2010)
Kernel methods for pattern analysis
mā: Shawe-Taylor, John
I whakaputaina: (2004)
mā: Shawe-Taylor, John
I whakaputaina: (2004)
Dataset shift in machine learning
I whakaputaina: (2009)
I whakaputaina: (2009)
Machine learning for dummies /
mā: Mueller, John Paul, me ētahi atu.
I whakaputaina: (2016)
mā: Mueller, John Paul, me ētahi atu.
I whakaputaina: (2016)
Machine learning : hands-on for developers and technical professionals /
mā: Bell, Jason
I whakaputaina: (2015)
mā: Bell, Jason
I whakaputaina: (2015)
Semi-supervised learning
I whakaputaina: (2006)
I whakaputaina: (2006)
Machine learning a probabilistic perspective /
mā: Murphy, Kevin P., 1970-
I whakaputaina: (2012)
mā: Murphy, Kevin P., 1970-
I whakaputaina: (2012)
Optimal learning
mā: Powell, Warren B., 1955-
I whakaputaina: (2012)
mā: Powell, Warren B., 1955-
I whakaputaina: (2012)
Advances in learning theory methods, models, and applications /
I whakaputaina: (2003)
I whakaputaina: (2003)
Machine learning in non-stationary environments introduction to covariate shift adaptation /
mā: Sugiyama, Masashi, 1974-
I whakaputaina: (2012)
mā: Sugiyama, Masashi, 1974-
I whakaputaina: (2012)
Foundations of machine learning
mā: Mohri, Mehryar
I whakaputaina: (2012)
mā: Mohri, Mehryar
I whakaputaina: (2012)
Machine learning for financial engineering
mā: Györfi, László
I whakaputaina: (2012)
mā: Györfi, László
I whakaputaina: (2012)
Learning scikit-learn : machine learning in Python /
mā: Garreta, Raul
I whakaputaina: (2013)
mā: Garreta, Raul
I whakaputaina: (2013)
Recursive spatial multiplexing for interference mitigation /
mā: Shah, Syed Ibrahim Asghar
I whakaputaina: (2019)
mā: Shah, Syed Ibrahim Asghar
I whakaputaina: (2019)
Ein Verfahren zur Prognose verkehrsabhangiger Schaltzeiten von Lichtsignalanlagen /
mā: Weisheit, Toni
I whakaputaina: (2017)
mā: Weisheit, Toni
I whakaputaina: (2017)
Learning with kernels support vector machines, regularization, optimization, and beyond /
mā: Schölkopf, Bernhard
I whakaputaina: (2002)
mā: Schölkopf, Bernhard
I whakaputaina: (2002)
Optimization for machine learning
I whakaputaina: (2012)
I whakaputaina: (2012)
Machine learning with R /
mā: Lantz, Brett
I whakaputaina: (2013)
mā: Lantz, Brett
I whakaputaina: (2013)
Multi-agent machine learning : a reinforcement approach /
mā: Schwartz, Howard M.
I whakaputaina: (2014)
mā: Schwartz, Howard M.
I whakaputaina: (2014)
Machine learning in python : essential techniques for predictive analysis /
mā: Bowles, Michael
I whakaputaina: (2015)
mā: Bowles, Michael
I whakaputaina: (2015)
Bridging the gap between graph edit distance and kernel machines
mā: Neuhaus, Michel
I whakaputaina: (2007)
mā: Neuhaus, Michel
I whakaputaina: (2007)
Building machine learning systems with Python
mā: Richert, Willi
I whakaputaina: (2013)
mā: Richert, Willi
I whakaputaina: (2013)
Boosting foundations and algorithms /
mā: Schapire, Robert E.
I whakaputaina: (2012)
mā: Schapire, Robert E.
I whakaputaina: (2012)
Kernels for structured data
mā: Gartner, Thomas
I whakaputaina: (2008)
mā: Gartner, Thomas
I whakaputaina: (2008)
Machine learning in image steganalysis
mā: Schaathun, Hans Georg
I whakaputaina: (2012)
mā: Schaathun, Hans Georg
I whakaputaina: (2012)
Pattern theory from representation to inference /
mā: Grenander, Ulf
I whakaputaina: (2007)
mā: Grenander, Ulf
I whakaputaina: (2007)
Next-generation sequencing and sequence data analysis /
mā: Chiu, Kuo Ping
I whakaputaina: (2015)
mā: Chiu, Kuo Ping
I whakaputaina: (2015)
Least squares support vector machines
I whakaputaina: (2002)
I whakaputaina: (2002)
The dissimilarity representation for pattern recognition foundations and applications /
mā: Pękalska, Elżbieta
I whakaputaina: (2005)
mā: Pękalska, Elżbieta
I whakaputaina: (2005)
Pattern recognition
mā: Theodoridis, Sergios, 1951-
I whakaputaina: (2009)
mā: Theodoridis, Sergios, 1951-
I whakaputaina: (2009)
Pattern recognition in soft computing paradigm
I whakaputaina: (2001)
I whakaputaina: (2001)
Pattern recognition
mā: Theodoridis, Sergios, 1951-
I whakaputaina: (2006)
mā: Theodoridis, Sergios, 1951-
I whakaputaina: (2006)
Pattern recognition practices, perspectives and challenges /
I whakaputaina: (2013)
I whakaputaina: (2013)
Apache Mahout cookbook /
mā: Giacomelli, Piero
I whakaputaina: (2013)
mā: Giacomelli, Piero
I whakaputaina: (2013)
Proceedings of the Sixth International Conference on Advances in Pattern Recognition Indian Statistical Institute, Kolkata, India, 2-4 January 2007 /
I whakaputaina: (2007)
I whakaputaina: (2007)
Support vector machines data analysis, machine learning and applications /
I whakaputaina: (2011)
I whakaputaina: (2011)
Adaptive stream mining pattern learning and mining from evolving data streams /
mā: Bifet, Albert
I whakaputaina: (2010)
mā: Bifet, Albert
I whakaputaina: (2010)
Klassifikation von Niederspannungsnetzen mit Support Vector Machines : Bewertung des Aufnahmevermogens fur Dezentrale Erzeugungsanlagen /
mā: Breker, Sebastian
I whakaputaina: (2015)
mā: Breker, Sebastian
I whakaputaina: (2015)
Ngā tūemi rite
-
Pattern classification using ensemble methods
mā: Rokach, Lior
I whakaputaina: (2010) -
Introduction to machine learning /
mā: Alpaydin, Ethem
I whakaputaina: (2014) -
Machine interpretation of patterns image analysis and data mining /
I whakaputaina: (2010) -
Kernel methods for pattern analysis
mā: Shawe-Taylor, John
I whakaputaina: (2004) -
Dataset shift in machine learning
I whakaputaina: (2009)