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Machine Learning

Volume 1 / 1986 - Volume 86 / 2012

Volume 71, Numbers 2-3 / June 2008

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Volume 86
- 169-293Number 2 / February 2012
- 1-168Number 1 / January 2012
Volume 85
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Volume 84
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Volume 83
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Volume 80
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Volume 79
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Volume 78
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Volume 77
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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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Volume 65
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Volume 64
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Volume 63
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Volume 62
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Volume 61
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Volume 60
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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 53
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Volume 52
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Volume 51
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Volume 50
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Volume 47
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Volume 43
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Volume 42
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- 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
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- 5-102Number 1 / July 2000
Volume 39
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Volume 38
- 243-338Number 3 / March 2000
- 5-236Numbers 1-2 / January 2000
Volume 37
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- 115-233Number 2 / November 1999
- 5-110Number 1 / October 1999
Volume 36
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- 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

133-153
Open Access
Learning symmetric causal independence models
Rasa Jurgelenaite and Tom Heskes
- Download PDF (474.1 KB)
155-183
Learning ( k , l )-contextual tree languages for information extraction from web pages
Stefan Raeymaekers, Maurice Bruynooghe and Jan Van den Bussche
- Download PDF (857.0 KB)
185-217
Learning the structure of dynamic Bayesian networks from time series and steady state measurements
Harri Lähdesmäki and Ilya Shmulevich
- Download PDF (1.1 MB)
219-242
On reoptimizing multi-class classifiers
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E. Schapire and N. V. Vinodchandran
- Download PDF (581.3 KB)
243-264
Efficient approximate leave-one-out cross-validation for kernel logistic regression
Gavin C. Cawley and Nicola L. C. Talbot
- Download PDF (695.2 KB)
265-305
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move
Marco Grzegorczyk and Dirk Husmeier
- Download PDF (4.8 MB)
307-323
Technical Note
Layered critical values: a powerful direct-adjustment approach to discovering significant patterns
Geoffrey I. Webb
- Download PDF (313.3 KB)

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