Explore: Supervised Learning (machine Learning)
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AI-Generated Overview About “supervised-learning-%28machine-learning%29”:
Books Results
Source: The Open Library
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Search results from The Open Library
1Semi-supervised learning
By Olivier Chapelle, Bernhard Schölkopf and Alexander Zien

“Semi-supervised learning” Metadata:
- Title: Semi-supervised learning
- Authors: Olivier ChapelleBernhard SchölkopfAlexander Zien
- Language: English
- Number of Pages: Median: 508
- Publisher: MIT Press
- Publish Date: 2010
- Publish Location: Cambridge, Mass
“Semi-supervised learning” Subjects and Themes:
- Subjects: ➤ Supervised learning (Machine learning) - Machine learning
Edition Identifiers:
- The Open Library ID: OL30607073M
- Library of Congress Control Number (LCCN): 2011288034
- All ISBNs: 9780262514125 - 0262514125
Access and General Info:
- First Year Published: 2010
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
Online Borrowing:
- Borrowing from Open Library: Borrowing link
- Borrowing from Archive.org: Borrowing link
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2The Elements of Statistical Learning
By Trevor Hastie, Robert Tibshirani and Jerome Friedman

“The Elements of Statistical Learning” Metadata:
- Title: ➤ The Elements of Statistical Learning
- Authors: Trevor HastieRobert TibshiraniJerome Friedman
- Language: English
- Number of Pages: Median: 541
- Publisher: ➤ Springer London, Limited - Springer
- Publish Date: 2001 - 2003 - 2008 - 2013
- Publish Location: London - New York
“The Elements of Statistical Learning” Subjects and Themes:
- Subjects: ➤ Supervised learning (Machine learning) - Database management - Artificial Intelligence (incl. Robotics) - Statistics - Artificial intelligence - Biology - Data processing - Computer science - Mathematical statistics - Computer Appl. in Life Sciences - Probability and Statistics in Computer Science - Statistical Theory and Methods - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences - Computational biology--methods - Statistics as topic--methods - Data interpretation, statistical - Q325.75 .h37 2001 - 006.3/1 - Computational Biology - Methods - Statistics as Topic - Statistical Data Interpretation
Edition Identifiers:
- The Open Library ID: ➤ OL39467607M - OL37233326M - OL7448838M - OL15507937M - OL22084728M - OL24612802M
- Online Computer Library Center (OCLC) ID: 46809224 - 51681104
- Library of Congress Control Number (LCCN): 2001031433
- All ISBNs: ➤ 9780387216065 - 9780387952840 - 9780387848846 - 0387216065 - 0387848843 - 0387952845
Access and General Info:
- First Year Published: 2001
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
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3The Elements of Statistical Learning
By Jerome Friedman, Robert Tibshirani and Jerome Friedman

“The Elements of Statistical Learning” Metadata:
- Title: ➤ The Elements of Statistical Learning
- Authors: Jerome FriedmanRobert TibshiraniJerome Friedman
- Language: English
- Number of Pages: Median: 745
- Publisher: Springer-Verlag New York
- Publish Date: 2009
- Publish Location: New York, NY
“The Elements of Statistical Learning” Subjects and Themes:
- Subjects: ➤ Data mining - Mathematical statistics - Statistics - Artificial intelligence - Bioinformatics - Machine learning - Inference - Forecasting - Computational intelligence - Methodology - Electronic data processing - Supervised learning (Machine learning) - Biology - Data processing - Supervised learning (machine learning) - Biology--data processing - Statistics as topic - Computational biology - Mathematical computing - Q325.75 .h37 2009 - 006.3'1 22 - Intelligence (ai) & semantics - Machine theory - Logic - Future studies - General - Computer science - Professional, career & trade -> computer science -> intelligence (ai) & semantics - Professional, career & trade -> computer science -> database management - Professional, career & trade -> computer science -> machine theory - Social sciences -> philosophy -> logic & critical reasoning - Social sciences -> social sciences -> future studies - Mathematics & statistics -> mathematics -> probability - Professional, career & trade -> computer science -> special topics - Scm27004 - Sci18030 - Scs11001 - Suco11649 - Sci23050 - Scl17004 - Sci21017 - Biological sciences & nutrition -> biology -> life sciences general - Professional, career & trade -> computer science -> computer science - Sci21000 - 2970 - 3820 - 2923 - 3921 - 2912
Edition Identifiers:
- The Open Library ID: OL25536157M
- Online Computer Library Center (OCLC) ID: 922668088 - 300478243
- Library of Congress Control Number (LCCN): 2008941148
- All ISBNs: 9780387848587 - 0387848584 - 0387848576 - 9780387848570
Access and General Info:
- First Year Published: 2009
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
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4Supervised Machine Learning
By Tanya Kolosova and Samuel Berestizhevsky

“Supervised Machine Learning” Metadata:
- Title: Supervised Machine Learning
- Authors: Tanya KolosovaSamuel Berestizhevsky
- Language: English
- Number of Pages: Median: 176
- Publisher: ➤ Chapman and Hall/CRC - CRC Press LLC - Taylor & Francis Group
- Publish Date: 2020 - 2022
“Supervised Machine Learning” Subjects and Themes:
- Subjects: ➤ Supervised learning (Machine learning) - Program transformation (Computer programming) - SAS (Computer program language) - R (Computer program language) - Apprentissage supervisé (Intelligence artificielle) - Transformation de programme (Informatique) - SAS (Langage de programmation) - R (Langage de programmation) - COMPUTERS - Machine Theory - Mathematical & Statistical Software
Edition Identifiers:
- The Open Library ID: ➤ OL29512655M - OL37996562M - OL29512631M - OL29513095M - OL31448638M - OL29513277M
- Online Computer Library Center (OCLC) ID: 1201337174
- All ISBNs: ➤ 0367538822 - 1000176835 - 9781000176810 - 9780367277321 - 1000176827 - 9781000176834 - 9780367538828 - 0429297599 - 9781000176827 - 0367277328 - 1000176819 - 9780429297595
Access and General Info:
- First Year Published: 2020
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
Online Borrowing:
Online Marketplaces
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5Semi-supervised learning
By Olivier Chapelle, Bernhard Schölkopf and Alexander Zien

“Semi-supervised learning” Metadata:
- Title: Semi-supervised learning
- Authors: Olivier ChapelleBernhard SchölkopfAlexander Zien
- Language: English
- Number of Pages: Median: 528
- Publisher: The MIT Press - MIT Press
- Publish Date: 2006 - 2010 - 2018
“Semi-supervised learning” Subjects and Themes:
- Subjects: ➤ Supervised learning (Machine learning) - Machine learning
Edition Identifiers:
- The Open Library ID: OL53279278M - OL9501529M - OL53240166M - OL53304012M - OL53302671M
- Online Computer Library Center (OCLC) ID: 64898359
- Library of Congress Control Number (LCCN): 2006044448
- All ISBNs: ➤ 9780262299961 - 9780262255899 - 0262251159 - 0262255898 - 9780262033589 - 1429414081 - 9780262251150 - 0262299968 - 0262033585 - 9781429414081
Access and General Info:
- First Year Published: 2006
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
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6Boosting
By Robert E. Schapire

“Boosting” Metadata:
- Title: Boosting
- Author: Robert E. Schapire
- Language: English
- Number of Pages: Median: 544
- Publisher: MIT Press
- Publish Date: 2012 - 2014 - 2018
- Publish Location: Cambridge, MA
“Boosting” Subjects and Themes:
- Subjects: ➤ Supervised learning (Machine learning) - Boosting (Algorithms) - Algorithms - Machine learning
Edition Identifiers:
- The Open Library ID: OL53243577M - OL29753705M - OL29550295M - OL29135003M - OL25101603M
- Online Computer Library Center (OCLC) ID: 758388404
- Library of Congress Control Number (LCCN): 2011038972
- All ISBNs: ➤ 9780262310413 - 0262310414 - 9780262526036 - 0262301180 - 9780262301183 - 9781280678356 - 0262526034 - 1280678356 - 9780262017183 - 0262017180
Access and General Info:
- First Year Published: 2012
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Marketplaces
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7Support Vector Machines Applications
By Yunqian Ma and Guodong Guo

“Support Vector Machines Applications” Metadata:
- Title: ➤ Support Vector Machines Applications
- Authors: Yunqian MaGuodong Guo
- Language: English
- Number of Pages: Median: 302
- Publisher: Springer
- Publish Date: 2014 - 2016
- Publish Location: New York - Cham [Switzerland]
“Support Vector Machines Applications” Subjects and Themes:
- Subjects: ➤ Algorithms - Support vector machines - Supervised learning (Machine learning)
Edition Identifiers:
- The Open Library ID: OL30387779M - OL28052277M
- Online Computer Library Center (OCLC) ID: 861208914
- Library of Congress Control Number (LCCN): 2014930758
- All ISBNs: ➤ 9783319343297 - 3319022997 - 9783319023007 - 9783319022994 - 3319343297 - 3319023004
Access and General Info:
- First Year Published: 2014
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
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8Introduction to semi-supervised learning
By Xiaojin Zhu and Andrew Goldberg

“Introduction to semi-supervised learning” Metadata:
- Title: ➤ Introduction to semi-supervised learning
- Authors: Xiaojin ZhuAndrew Goldberg
- Language: English
- Number of Pages: Median: 306
- Publisher: ➤ Springer Nature - Morgan & Claypool Publishers
- Publish Date: 2008 - 2009
“Introduction to semi-supervised learning” Subjects and Themes:
Edition Identifiers:
- The Open Library ID: OL12496554M - OL51662099M - OL38360217M
- All ISBNs: ➤ 1598295470 - 9781598295481 - 3031015487 - 1598295489 - 9781598295474 - 9783031015489
Access and General Info:
- First Year Published: 2008
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: Unclassified
Online Access
Downloads Are Not Available:
The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
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9The mathematics of generalization
By SFI/CNLS Workshop on Formal Approaches to Supervised Learning (1992 Santa Fe, N.M.)

“The mathematics of generalization” Metadata:
- Title: ➤ The mathematics of generalization
- Author: ➤ SFI/CNLS Workshop on Formal Approaches to Supervised Learning (1992 Santa Fe, N.M.)
- Language: English
- Number of Pages: Median: 441
- Publisher: Addison-Wesley Pub. Co.
- Publish Date: 1995
- Publish Location: Reading, Mass
“The mathematics of generalization” Subjects and Themes:
- Subjects: ➤ Congresses - Supervised learning (Machine learning) - Neural networks (Computer science) - Neural networks (computer science)
Edition Identifiers:
- The Open Library ID: OL1116757M
- Library of Congress Control Number (LCCN): 94042868
- All ISBNs: 9780201409833 - 9780201409857 - 0201409836 - 0201409852
Access and General Info:
- First Year Published: 1995
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
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10Statistical spoken language understanding systems
By Amparo Albalate

“Statistical spoken language understanding systems” Metadata:
- Title: ➤ Statistical spoken language understanding systems
- Author: Amparo Albalate
- Language: English
- Number of Pages: Median: 244
- Publisher: ISTE - Wiley
- Publish Date: 2011
- Publish Location: London - Hoboken, NJ
“Statistical spoken language understanding systems” Subjects and Themes:
- Subjects: ➤ Statistical methods - TECHNOLOGY & ENGINEERING / Electronics / General - Discourse analysis - Data mining - Speech processing systems - Computational intelligence - Machine learning - Computational learning theory - Supervised learning (Machine learning)
Edition Identifiers:
- The Open Library ID: OL25001469M
- Online Computer Library Center (OCLC) ID: 700509842 - 857717622
- Library of Congress Control Number (LCCN): 2010040730
- All ISBNs: 9781848212039 - 1848212038
Access and General Info:
- First Year Published: 2011
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Printdisabled
Online Access
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The book is not public therefore the download links will not allow the download of the entire book, however, borrowing the book online is available.
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11A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
By Michael Craig Burkhart

“A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding” Metadata:
- Title: ➤ A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding
- Author: Michael Craig Burkhart
- Language: English
- Number of Pages: Median: 112
- Publisher: Brown University
- Publish Date: 2019
- Publish Location: Providence, USA
“A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding” Subjects and Themes:
- Subjects: ➤ Machine Learning - Brain-computer interfaces - Gaussian processes - Bayesian filtering - Supervised learning (Machine learning) - Neural decoding - Hidden Markov models - State-space models - Neural networks (Computer science) - Computational neuroscience - Discriminative probabilistic modeling - Nonparametric statistics
Edition Identifiers:
- The Open Library ID: OL32035375M
- All ISBNs: 9798664701937
Author's Alternative Names:
"Michael Burkhart" and "Michael C. Burkhart"Access and General Info:
- First Year Published: 2019
- Is Full Text Available: Yes
- Is The Book Public: Yes
- Access Status: Public
Online Access
Downloads:
- Number of Results: 1
- 1: a-discriminative-approach-to-bayesian-filtering-with-applications-to-human-neural-decoding
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- Borrowing from Open Library: Borrowing link
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