封面图片

QR Code

Support vector machines data analysis, machine learning and applications /

Show other versions (1)

Saved in:

书目详细资料
企业作者:	ebrary, Inc
其他作者:	Boyle, Brandon H.
格式:	电子电子书
语言:	英语
出版:	New York : Nova Science Publishers, c2011.
丛编:	Computer science, technology and applications.
主题:	Support vector machines. Electronic books.
在线阅读:	An electronic book accessible through the World Wide Web; click to view
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Support vector machines data analysis, machine learning and applications /
出版: (2011)

Klassifikation von Niederspannungsnetzen mit Support Vector Machines : Bewertung des Aufnahmevermogens fur Dezentrale Erzeugungsanlagen /
由: Breker, Sebastian
出版: (2015)

Klassifikation von Niederspannungsnetzen mit Support Vector Machines : Bewertung des Aufnahmevermogens fur Dezentrale Erzeugungsanlagen /
由: Breker, Sebastian
出版: (2015)

Least squares support vector machines
出版: (2002)

Least squares support vector machines
出版: (2002)

Machine learning for dummies /
由: Mueller, John Paul, et al.
出版: (2016)

Introduction to machine learning /
由: Alpaydin, Ethem
出版: (2014)

Introduction to machine learning /
由: Alpaydin, Ethem
出版: (2014)

Machine learning for dummies /
由: Mueller, John Paul, et al.
出版: (2016)

Dataset shift in machine learning
出版: (2009)

Dataset shift in machine learning
出版: (2009)

Machine learning : hands-on for developers and technical professionals /
由: Bell, Jason
出版: (2015)

Machine learning : hands-on for developers and technical professionals /
由: Bell, Jason
出版: (2015)

Machine learning a probabilistic perspective /
由: Murphy, Kevin P., 1970-
出版: (2012)

Machine learning a probabilistic perspective /
由: Murphy, Kevin P., 1970-
出版: (2012)

Foundations of machine learning
由: Mohri, Mehryar
出版: (2012)

Foundations of machine learning
由: Mohri, Mehryar
出版: (2012)

Machine learning for financial engineering
由: Györfi, László
出版: (2012)

Machine learning for financial engineering
由: Györfi, László
出版: (2012)

Machine learning with R /
由: Lantz, Brett
出版: (2013)

Optimization for machine learning
出版: (2012)

Optimization for machine learning
出版: (2012)

Machine learning with R /
由: Lantz, Brett
出版: (2013)

Learning with kernels support vector machines, regularization, optimization, and beyond /
由: Schölkopf, Bernhard
出版: (2002)

Learning with kernels support vector machines, regularization, optimization, and beyond /
由: Schölkopf, Bernhard
出版: (2002)

Machine learning in python : essential techniques for predictive analysis /
由: Bowles, Michael
出版: (2015)

Machine learning in python : essential techniques for predictive analysis /
由: Bowles, Michael
出版: (2015)

Building machine learning systems with Python
由: Richert, Willi
出版: (2013)

Building machine learning systems with Python
由: Richert, Willi
出版: (2013)

Machine learning in non-stationary environments introduction to covariate shift adaptation /
由: Sugiyama, Masashi, 1974-
出版: (2012)

Machine learning in non-stationary environments introduction to covariate shift adaptation /
由: Sugiyama, Masashi, 1974-
出版: (2012)

Machine learning in image steganalysis
由: Schaathun, Hans Georg
出版: (2012)

Machine learning in image steganalysis
由: Schaathun, Hans Georg
出版: (2012)

Multi-agent machine learning : a reinforcement approach /
由: Schwartz, Howard M.
出版: (2014)

Multi-agent machine learning : a reinforcement approach /
由: Schwartz, Howard M.
出版: (2014)

Learning scikit-learn : machine learning in Python /
由: Garreta, Raul
出版: (2013)

Learning scikit-learn : machine learning in Python /
由: Garreta, Raul
出版: (2013)

Kernels for structured data
由: Gartner, Thomas
出版: (2008)

Kernels for structured data
由: Gartner, Thomas
出版: (2008)

Vector analysis /
由: Coffin, Joseph George, 1877-
出版: (1911)