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1
Subclass problem-dependent design for error-correcting output codes
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Subclass problem-dependent design for error-correcting output codes

IEEE transactions on pattern analysis and machine intelligence, 2008-06 [Peer Reviewed Journal]

(c) IEEE, 2008 info:eu-repo/semantics/openAccess ;ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2008.38

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2
Machine learning: a review of classification and combining techniques
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Machine learning: a review of classification and combining techniques

The Artificial intelligence review, 2006-11, Vol.26 (3), p.159-190 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2007 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-007-9052-3

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3
Classifying Software Changes: Clean or Buggy?
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Classifying Software Changes: Clean or Buggy?

IEEE transactions on software engineering, 2008-03, Vol.34 (2), p.181-196 [Peer Reviewed Journal]

Copyright IEEE Computer Society Mar 2008 ;ISSN: 0098-5589 ;EISSN: 1939-3520 ;DOI: 10.1109/TSE.2007.70773 ;CODEN: IESEDJ

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4
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
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Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction

The Journal of artificial intelligence research, 2003-01, Vol.19, p.315-354 [Peer Reviewed Journal]

2003. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1199

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5
Cost curves : An improved method for visualizing classifier performance
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Cost curves : An improved method for visualizing classifier performance

Machine learning, 2006-10, Vol.65 (1), p.95-130 [Peer Reviewed Journal]

2007 INIST-CNRS ;Springer Science + Business Media, LLC 2006 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-006-8199-5

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6
Learning classifier systems: a survey
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Learning classifier systems: a survey

Soft computing (Berlin, Germany), 2007-09, Vol.11 (11), p.1065-1078 [Peer Reviewed Journal]

Springer-Verlag 2007. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1432-7643 ;EISSN: 1433-7479 ;DOI: 10.1007/s00500-007-0164-0

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7
A survey of document image classification: problem statement, classifier architecture and performance evaluation
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A survey of document image classification: problem statement, classifier architecture and performance evaluation

International journal on document analysis and recognition, 2007-06, Vol.10 (1), p.1-16 [Peer Reviewed Journal]

2007 INIST-CNRS ;Springer-Verlag 2006. ;ISSN: 1433-2833 ;EISSN: 1433-2825 ;DOI: 10.1007/s10032-006-0020-2

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8
An Evaluation of Statistical Approaches to Text Categorization
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An Evaluation of Statistical Approaches to Text Categorization

Information retrieval (Boston), 1999-04, Vol.1 (1-2), p.69-90 [Peer Reviewed Journal]

Copyright (c) 1999 Kluwer Academic Publishers ;Kluwer Academic Publishers 1999. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1023/a:1009982220290

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9
A genetic algorithm-based method for feature subset selection
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A genetic algorithm-based method for feature subset selection

Soft computing (Berlin, Germany), 2008-01, Vol.12 (2), p.111-120 [Peer Reviewed Journal]

Springer-Verlag 2007 ;Springer-Verlag 2007. ;ISSN: 1432-7643 ;EISSN: 1433-7479 ;DOI: 10.1007/s00500-007-0193-8

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10
Unsupervised analysis of fMRI data using kernel canonical correlation
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Unsupervised analysis of fMRI data using kernel canonical correlation

NeuroImage (Orlando, Fla.), 2007-10, Vol.37 (4), p.1250-1259 [Peer Reviewed Journal]

2007 Elsevier Inc. ;Copyright Elsevier Limited Oct 1, 2007 ;ISSN: 1053-8119 ;EISSN: 1095-9572 ;DOI: 10.1016/j.neuroimage.2007.06.017 ;PMID: 17686634

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11
Classification with reject option
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Classification with reject option

Canadian journal of statistics, 2006-12, Vol.34 (4), p.709-721 [Peer Reviewed Journal]

Copyright 2006 Statistical Society of Canada / Société statistique du Canada ;Copyright © 2006 Statistical Society of Canada ;Copyright Statistical Society of Canada Dec 2006 ;ISSN: 0319-5724 ;EISSN: 1708-945X ;DOI: 10.1002/cjs.5550340410

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12
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
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Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey

Data mining and knowledge discovery, 1998-12, Vol.2 (4), p.345 [Peer Reviewed Journal]

Kluwer Academic Publishers 1998 ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1023/A:1009744630224

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13
Random forests classifier for machine fault diagnosis
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Random forests classifier for machine fault diagnosis

Journal of Mechanical Science and Technology, 2008, 22(9), , pp.1716-1725 [Peer Reviewed Journal]

The Korean Society of Mechanical Engineers and Springer-Verlag GmbH 2008 ;2008 INIST-CNRS ;ISSN: 1738-494X ;EISSN: 1976-3824 ;DOI: 10.1007/s12206-008-0603-6

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14
Augmenting naive Bayes classifiers with statistical language models
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Augmenting naive Bayes classifiers with statistical language models

Information retrieval (Boston), 2004-09, Vol.7 (3-4), p.317-345 [Peer Reviewed Journal]

2004 INIST-CNRS ;Copyright (c) 2004 Kluwer Academic Publishers ;Kluwer Academic Publishers 2004. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1023/B:INRT.0000011209.19643.e2

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15
VC theory of large margin multi-category classifiers
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VC theory of large margin multi-category classifiers

Journal of machine learning research, 2007-11, Vol.8, p.2551-2594 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928

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16
Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds
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Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds

Journal of computer-aided molecular design, 2007-05, Vol.21 (5), p.269-280 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2007. ;ISSN: 0920-654X ;EISSN: 1573-4951 ;DOI: 10.1007/s10822-007-9113-3 ;PMID: 17387437

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17
APPLYING MACHINE LEARNING TO LOW-KNOWLEDGE CONTROL OF OPTIMIZATION ALGORITHMS
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APPLYING MACHINE LEARNING TO LOW-KNOWLEDGE CONTROL OF OPTIMIZATION ALGORITHMS

Computational intelligence, 2005-11, Vol.21 (4), p.372-387 [Peer Reviewed Journal]

2005 Blackwell Publishing, Inc. ;ISSN: 0824-7935 ;EISSN: 1467-8640 ;DOI: 10.1111/j.1467-8640.2005.00278.x

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18
Closed-Loop Learning of Visual Control Policies
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Closed-Loop Learning of Visual Control Policies

The Journal of artificial intelligence research, 2007-01, Vol.28, p.349-391 [Peer Reviewed Journal]

2007. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;ISSN: 1943-5037 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.2110

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19
On the accuracy of meta-learning for scalable data mining
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On the accuracy of meta-learning for scalable data mining

Journal of intelligent information systems, 1997-01, Vol.8 (1), p.5-28 [Peer Reviewed Journal]

ISSN: 0925-9902 ;EISSN: 1573-7675 ;DOI: 10.1023/A:1008640732416

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20
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
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Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach

The Journal of artificial intelligence research, 2008-01, Vol.33, p.1-31 [Peer Reviewed Journal]

2008. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.2602

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