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Machine Learning

Volume 1 / 1986 - Volume 86 / 2012

Volume 77, Numbers 2-3 / December 2009

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Volume 86
- 169-293Number 2 / February 2012
- 1-168Number 1 / January 2012
Volume 85
- 249-391Number 3 / December 2011
- 1-248Numbers 1-2 / October 2011
Volume 84
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Volume 83
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Volume 82
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Volume 81
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Volume 80
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Volume 79
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Volume 78
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- 1-285Numbers 1-2 / January 2010
Volume 77
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Volume 76
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Volume 74
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Volume 73
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Volume 72
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Volume 71
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Volume 70
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Volume 69
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Volume 68
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Volume 67
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Volume 66
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- 3-110Number 1 / January 2007
Volume 65
- 343-515Numbers 2-3 / December 2006
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Volume 64
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Volume 63
- 211-340Number 3 / June 2006
- 107-207Number 2 / May 2006
- 3-101Number 1 / April 2006
Volume 62
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Volume 61
- 5-191Numbers 1-3 / November 2005
Volume 60
- 5-278Numbers 1-3 / September 2005
Volume 59
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Volume 58
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Volume 57
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Volume 56
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Volume 55
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- 5-97Number 1 / April 2004
Volume 54
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- 99-178Number 2 / February 2004
- 5-92Number 1 / January 2004
Volume 53
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- 5-191Numbers 1-2 / October 2003
Volume 52
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- 5-191Numbers 1-2 / July 2003
Volume 51
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- 115-207Number 2 / May 2003
- 5-107Number 1 / April 2003
Volume 50
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- 5-212Numbers 1-2 / January 2003
Volume 49
- 107-346Numbers 2-3 / November 2002
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Volume 48
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Volume 47
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- 5-121Number 1 / April 2002
Volume 46
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Volume 45
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- 123-228Number 2 / November 2001
- 5-114Number 1 / October 2001
Volume 44
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- 5-197Numbers 1-2 / July 2001
Volume 43
- 171-318Number 3 / June 2001
- 5-162Numbers 1-2 / April 2001
Volume 42
- 203-321Number 3 / March 2001
- 5-196Numbers 1-2 / January 2001
Volume 41
- 259-363Number 3 / December 2000
- 123-251Number 2 / November 2000
- 5-116Number 1 / October 2000
Volume 40
- 203-299Number 3 / September 2000
- 111-196Number 2 / August 2000
- 5-102Number 1 / July 2000
Volume 39
- 99-242Numbers 2-3 / May 2000
- 5-91Number 1 / April 2000
Volume 38
- 243-338Number 3 / March 2000
- 5-236Numbers 1-2 / January 2000
Volume 37
- 239-363Number 3 / December 1999
- 115-233Number 2 / November 1999
- 5-110Number 1 / October 1999
Volume 36
- 147-244Number 3 / September 1999
- 5-139Numbers 1-2 / July 1999
Volume 35
- 191-282Number 3 / June 1999
- 95-185Number 2 / May 1999
- 5-90Number 1 / April 1999
Volume 34
- 5-272Numbers 1-3 / February 1999
Volume 33
- 123-282Numbers 2-3 / November 1998
- 5-115Number 1 / October 1998
Volume 32
- 207-295Number 3 / September 1998
- 83-201Number 2 / August 1998
- 5-77Number 1 / July 1998
Volume 31
- 5-258Numbers 1-3 / April 1998
Volume 30
- 127-274Numbers 2-3 / February 1998
- 5-123Number 1 / January 1998
Volume 29
- 91-301Numbers 2-3 / November 1997
- 5-88Number 1 / October 1997
Volume 28
- 133-291Numbers 2-3 / August 1997
- 5-130Number 1 / July 1997
Volume 27
- 205-331Number 3 / June 1997
- 125-200Number 2 / May 1997
- 5-119Number 1 / April 1997
Volume 26
- 97-252Numbers 2-3 / February 1997
- 5-92Number 1 / January 1997

Archival Content

About This Journal

Title

Machine Learning

Coverage

Volume 1 / 1986 - Volume 86 / 2012

Collection

Computer Science

Subjects

Artificial Intelligence and Robotics
Automation and Robotics
Computing Methodologies
Simulation and Modeling
Language Translation and Linguistics

ISSN

0885-6125 (Print)
1573-0565 (Online)

Additional Links

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Publisher

Springer Netherlands

SpringerLink Date

Friday, April 05, 2002

Special Issue on Structured Prediction; Guest Editors: Charles Parker, Yasemin Altun, and Prasad Tadepalli

161-164
Editorial
Open Access
Guest editorial: special issue on structured prediction
Charles Parker, Yasemin Altun and Prasad Tadepalli
- Download PDF (164.7 KB)
165-194
Open Access
Piecewise training for structured prediction
Charles Sutton and Andrew McCallum
- Download PDF (700.5 KB)
195-224
Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning
Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang and Yuh-Jye Lee
- Download PDF (1.3 MB)
225-248
Generalized isotonic conditional random fields
Yi Mao and Guy Lebanon
- Download PDF (754.7 KB)
249-269
Open Access
Structured prediction by joint kernel support estimation
Christoph H. Lampert and Matthew B. Blaschko
- Download PDF (1.8 MB)
271-301
Structured prediction with reinforcement learning
Francis Maes, Ludovic Denoyer and Patrick Gallinari
- Download PDF (1.5 MB)
303-337
Training parsers by inverse reinforcement learning
Gergely Neu and Csaba Szepesvári
- Download PDF (810.8 KB)

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