Á lódáil...

QR Code

Relational knowledge discovery /

other_versions_link

Sonraí Bibleagrafaíochta
Príomhúdar:	Müller, M. E. (Martin E.), 1970-
Formáid:	Printed Book
Teanga:	English
Foilsithe:	Cambridge ; New York : Cambridge University Press, 2012.
Ábhair:	Computational learning theory. Machine learning. Relational databases.

Míreanna Comhchosúla

Relational knowledge discovery
le: Müller, M. E.
Foilsithe: (2012)

Aakashathile kavithakal: Stories/
le: Abraham Mathew
Foilsithe: (2009)

Autonomous Learning Systems: From Data Streams to Knowledge in Real-time
le: Angelov, Plamen
Foilsithe: (2013)

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

Handbook of statistics. Vol.31: Machine learning: theory and applications
le: Ed by Rao,C.R
Foilsithe: (2013)

Advances in machine learning applications in software engineering /
le: Zhang, Du
Foilsithe: (2007)

Introduction to machine learning /
le: Alpaydin, Ethem
Foilsithe: (2005)

Machine learning refined : foundations, algorithms, and applications /
le: Watt, Jeremy, et al.
Foilsithe: (2017)

Deep learning /
le: Goodfellow, Ian, et al.
Foilsithe: (2016)

Machine learning : a concise introduction /
le: Knox, Steven W.
Foilsithe: (2018)

Machine learning: the art and science of algorithms that make sense of Data
le: Flach, Peter
Foilsithe: (2012)

Introduction to Machine Learning
le: Ethem Alpaydin
Foilsithe: (2018)

Geometric computing for perception action systems
le: Corrochano, Eduardo Bayro
Foilsithe: (2001)

Industrial applications of machine learning /
le: Larrañaga, Pedro
Foilsithe: (2019)

introduction to machine learning
le: Alpaydin, Ethem
Foilsithe: (2018)

Knowledge discovery from data streams /
le: Gama, João
Foilsithe: (2010)

The elements of statistical learning: data mininig,inference,and prediction
le: Hastie, Trevor
Foilsithe: (2001)

Reinforcement Learning
le: Richard S Sutton
Foilsithe: (1992)

Machine Learning /
le: Mitchell, Tom M. 1951- (Tom Michael)
Foilsithe: (1997)

Foundations of machine learning /
le: Mohri, Mehryar
Foilsithe: (2012)

Machine learning : algorithms and applications /
le: Mohammed, Mohssen

The beauty of mathematics in computer science
le: Wu, Jun

Machine learning and security: protecting systems with data and algorithms
le: Chio, Clarence
Foilsithe: (2018)

Elements of statistical learning : data mining, inference, and prediction : with 200 full-color illustrations /
le: Hastie, Trevor
Foilsithe: (2001)

Machine learning : an algorithmic perspective /
le: Marsland, Stephen
Foilsithe: (2009)

Evaluating learning algorithms a classification perspective
le: Japkowicz, Nathalie
Foilsithe: (2011)

Bioinformatics: the machine learning approach /
le: Baldi, Pierre
Foilsithe: (2001)

Machine learning : an algorithmic perspective /
le: Marsland, Stephen
Foilsithe: (2009)

Introduction to Machine Learning and Bioinformatics /
Foilsithe: (2008)

Machine learning approaches to bioinformatics
le: Yang, Zheng Rong; Author
Foilsithe: (2010)

Introduction to machine learning and bioinformatics /
le: Mitra, Sushmita, Etc
Foilsithe: (2008)

Machine Learning: An Algorithmic Perspective
le: Stephen Marsland
Foilsithe: (2009)

A concise introduction to machine learning /
le: Faul, A. C.
Foilsithe: (2020)

Machine Learning
le: Tom M Mitchell
Foilsithe: (2013)

Learning by discovery: a critical appraisal

elements of statistical learning: data mining, inference, and prediction
le: Hastie, Trevor
Foilsithe: (2001)

Into the heart of the mind : an American quest for artificial intelligence /
le: Rose, Frank
Foilsithe: (1984)

Understanding machine learning: from theory to algorithms
le: Shwartz, Shai Shalev
Foilsithe: (2014)

Theory of learning and generalization: with applications to neural networks and control systems /
le: Vidyasagar, M
Foilsithe: (1997)

Graph-based semi-supervised learning /
le: Subramanya, Amarnag, et al.
Foilsithe: (2014)