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1
A Logic of "Black Box" Classifier Systems
A Logic of "Black Box" Classifier Systems
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A Logic of "Black Box" Classifier Systems

Logic, Language, Information, and Computation: 28th International Workshop, WoLLIC 2022, Iași, Romania, September 20–23, 2022, Proceedings, 2022, Vol.13468, p.158-174 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISBN: 3031152972 ;ISBN: 9783031152979 ;DOI: 10.1007/978-3-031-15298-6_10

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2
CLASSIFIERS
CLASSIFIERS
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CLASSIFIERS

Data Mining for the Social Sciences, 2019, p.133-161

2019 University of California Press, Berkeley ;EISBN: 9780520960596 ;EISBN: 0520960599 ;DOI: 10.1525/9780520960596-010

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3
Classifiers
Classifiers
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Classifiers

Syntax of Hungarian, 2017, Vol.2, p.932-976

2017 Amsterdam University Press, Amsterdam ;EISBN: 9789048532759 ;EISBN: 9048532752 ;DOI: 10.1515/9789048532759-006

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4
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification
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The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification

http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;ISBN: 9783030676575 ;EISBN: 9783030676582 ;DOI: 10.48550/arxiv.2105.03841

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5
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
Dynamic Bayesian Combination of Multiple Imperfect Classifiers
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Dynamic Bayesian Combination of Multiple Imperfect Classifiers

Decision Making and Imperfection, p.1-35 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2013 ;ISSN: 1860-949X ;ISBN: 9783642364051 ;ISBN: 3642364055 ;EISSN: 1860-9503 ;EISBN: 9783642364068 ;EISBN: 3642364063 ;DOI: 10.1007/978-3-642-36406-8_1

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6
Classifiers
Classifiers
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Classifiers

QOS-Enabled Networks, 2016, p.81-100

2015 Wiley ;Copyright © 2016 John Wiley & Sons, Ltd. ;ISBN: 9781119109105 ;ISBN: 1119109108 ;EISBN: 1119109124 ;EISBN: 9781119109136 ;EISBN: 9781119109112 ;EISBN: 1119109116 ;EISBN: 9781119109129 ;EISBN: 1119109132 ;DOI: 10.1002/9781119109136.ch5

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7
Classifiers
Classifiers
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Classifiers

The Handbook of Chinese Linguistics, 2014, p.26-48

Copyright © 2014 John Wiley & Sons, Inc. ;ISBN: 0470655348 ;ISBN: 9780470655344 ;EISBN: 9781118584552 ;EISBN: 1118584554 ;DOI: 10.1002/9781118584552.ch2

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8
Certified Logic-Based Explainable AI: The Case of Monotonic Classifiers
Certified Logic-Based Explainable AI: The Case of Monotonic Classifiers
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Certified Logic-Based Explainable AI: The Case of Monotonic Classifiers

Tests and Proofs: 17th International Conference, TAP 2023, Leicester, UK, July 18–19, 2023, Proceedings, 2023, Vol.14066, p.51-67 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISBN: 3031388275 ;ISBN: 9783031388279 ;DOI: 10.1007/978-3-031-38828-6_4

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9
Experiment 1: Classifiers
Experiment 1: Classifiers
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Experiment 1: Classifiers

Decision Support System for Diagnosis and Treatment of Hearing Disorders, 2017, Vol.685, p.63-78 [Peer Reviewed Journal]

Springer International Publishing AG 2017 ;ISSN: 1860-949X ;ISBN: 3319514628 ;ISBN: 9783319514628 ;EISSN: 1860-9503 ;EISBN: 9783319514635 ;EISBN: 3319514636 ;DOI: 10.1007/978-3-319-51463-5_6 ;OCLC: 974484479 ;LCCallNum: Q342

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10
CLASSIFIERS
CLASSIFIERS
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CLASSIFIERS

Data Mining for the Social Sciences, 2015, p.133

2015 Paul Attewell ;2015 David B. Monaghan ;ISBN: 9780520280977 ;ISBN: 0520280970 ;EISBN: 9780520960596 ;EISBN: 0520960599

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11
Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection
Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection
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Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection

Lecture notes in computer science, 2003, p.297-304 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2003 ;2004 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 3540408614 ;ISBN: 9783540408611 ;EISSN: 1611-3349 ;EISBN: 3540452435 ;EISBN: 9783540452430 ;DOI: 10.1007/978-3-540-45243-0_39

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12
Choosing the Decision Hyper-parameter for Some Cautious Classifiers
Choosing the Decision Hyper-parameter for Some Cautious Classifiers
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Choosing the Decision Hyper-parameter for Some Cautious Classifiers

Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-031-08974-9_61

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13
Classifiers
Classifiers
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Classifiers

SignGram Blueprint, 2017, p.250-269

2017 Josep Quer, Carlo Cecchetto, Caterina Donati, Carlo Geraci, Meltem Kelepir, Roland Pfau, and Markus Steinbach, published by Walter de Gruyter GmbH, Berlin/Boston ;ISBN: 1501515705 ;ISBN: 9781501515705 ;EISBN: 1501511807 ;EISBN: 9781501511806 ;DOI: 10.1515/9781501511806-405

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14
Naive Bayesian Classifiers for Ranking
Naive Bayesian Classifiers for Ranking
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Naive Bayesian Classifiers for Ranking

Lecture notes in computer science, 2004, p.501-512 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2004 ;2004 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 9783540231059 ;ISBN: 3540231056 ;EISSN: 1611-3349 ;EISBN: 3540301151 ;EISBN: 9783540301158 ;DOI: 10.1007/978-3-540-30115-8_46

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15
Bayesian Classifiers in Intrusion Detection Systems
Bayesian Classifiers in Intrusion Detection Systems
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Bayesian Classifiers in Intrusion Detection Systems

Lecture Notes in Computer Science, 2020, Vol.LNCS-12081, p.379-391 [Peer Reviewed Journal]

Attribution ;DOI: 10.1007/978-3-030-45778-5_26

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16
Classifiers
Classifiers
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Book Chapter 		Add to My Research

Classifiers

Sign Language, 2012, Vol.37, p.158-186

2012 Walter de Gruyter GmbH & Co. KG, Genthiner Str. 13, 10785 Berlin. ;ISBN: 9783110204216 ;ISBN: 3110204215 ;EISBN: 3110261324 ;EISBN: 9783110261325 ;DOI: 10.1515/9783110261325.158 ;OCLC: 1135847943

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17
Review of Classifier Combination Methods
Review of Classifier Combination Methods
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Review of Classifier Combination Methods

Machine Learning in Document Analysis and Recognition, p.361-386 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2008 ;ISSN: 1860-949X ;ISBN: 9783540762799 ;ISBN: 3540762795 ;EISBN: 3540762809 ;EISBN: 9783540762805 ;DOI: 10.1007/978-3-540-76280-5_14

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18
Experiments with Classifier Combining Rules
Experiments with Classifier Combining Rules
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Experiments with Classifier Combining Rules

Lecture notes in computer science, 2000, Vol.1857, p.16-29 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2000 ;2000 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 3540677046 ;ISBN: 9783540677048 ;EISSN: 1611-3349 ;EISBN: 9783540450146 ;EISBN: 3540450149 ;DOI: 10.1007/3-540-45014-9_2 ;OCLC: 958520904 ;LCCallNum: Q337.5

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19
Searching for Novel Classifiers
Searching for Novel Classifiers
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Searching for Novel Classifiers

Genetic Programming, p.145-156 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2013 ;ISSN: 0302-9743 ;ISBN: 3642372066 ;ISBN: 9783642372063 ;EISSN: 1611-3349 ;EISBN: 3642372074 ;EISBN: 9783642372070 ;DOI: 10.1007/978-3-642-37207-0_13

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20
Effective Voting of Heterogeneous Classifiers
Effective Voting of Heterogeneous Classifiers
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Effective Voting of Heterogeneous Classifiers

Lecture notes in computer science, 2004, p.465-476 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2004 ;2004 INIST-CNRS ;ISSN: 0302-9743 ;ISBN: 9783540231059 ;ISBN: 3540231056 ;EISSN: 1611-3349 ;EISBN: 3540301151 ;EISBN: 9783540301158 ;DOI: 10.1007/978-3-540-30115-8_43

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