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Results 1 - 20 of 3,597  for All Library Resources

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1
Multiple classifier system for remote sensing image classification: a review
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Article
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Multiple classifier system for remote sensing image classification: a review

Sensors, 2012-04, Vol.12 (4), p.4764-4792 [Peer Reviewed Journal]

Copyright MDPI AG 2012 ;2012 by the authors; licensee MDPI, Basel, Switzerland. 2012 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s120404764 ;PMID: 22666057

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2
Enhanced Face Detection Technique Based on Color Correction Approach and SMQT Features
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Enhanced Face Detection Technique Based on Color Correction Approach and SMQT Features

Journal of software engineering and applications, 2013-10, Vol.6 (10), p.519-525

ISSN: 1945-3116 ;EISSN: 1945-3124 ;DOI: 10.4236/jsea.2013.610062

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3
Multiple spectral-spatial classification approach for hyperspectral data
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Multiple spectral-spatial classification approach for hyperspectral data

IEEE transactions on geoscience and remote sensing, 2010-11, Vol.48 (11), p.4122-4132 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0196-2892 ;EISSN: 1558-0644 ;DOI: 10.1109/TGRS.2010.2062526

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4
Is Combining Classifiers with Stacking Better than Selecting the Best One?
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Is Combining Classifiers with Stacking Better than Selecting the Best One?

Machine learning, 2004-03, Vol.54 (3), p.255-273 [Peer Reviewed Journal]

Kluwer Academic Publishers 2004 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1023/B:MACH.0000015881.36452.6e

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5
Ensemble-based classifiers
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Ensemble-based classifiers

The Artificial intelligence review, 2010-02, Vol.33 (1-2), p.1-39 [Peer Reviewed Journal]

Springer Science+Business Media B.V. 2009 ;Springer Science+Business Media B.V. 2010 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-009-9124-7

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6
Learning the naive Bayes classifier with optimization models
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Learning the naive Bayes classifier with optimization models

International journal of applied mathematics and computer science, 2013-12, Vol.23 (4), p.787-795 [Peer Reviewed Journal]

Copyright Versita Dec 2013 ;ISSN: 1641-876X ;EISSN: 2083-8492 ;DOI: 10.2478/amcs-2013-0059

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7
Prediction of linear B-cell epitopes using amino acid pair antigenicity scale
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Prediction of linear B-cell epitopes using amino acid pair antigenicity scale

Amino acids, 2007-09, Vol.33 (3), p.423-428 [Peer Reviewed Journal]

Springer-Verlag 2007 ;ISSN: 0939-4451 ;EISSN: 1438-2199 ;DOI: 10.1007/s00726-006-0485-9 ;PMID: 17252308

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8
Segmentation and classification of hyperspectral images using watershed transformation
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Segmentation and classification of hyperspectral images using watershed transformation

Pattern recognition, 2010-07, Vol.43 (7), p.2367-2379 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0031-3203 ;EISSN: 1873-5142 ;DOI: 10.1016/j.patcog.2010.01.016

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9
A theory of learning from different domains
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A theory of learning from different domains

Machine learning, 2010-05, Vol.79 (1-2), p.151-175 [Peer Reviewed Journal]

The Author(s) 2009 ;The Author(s) 2010 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-009-5152-4

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10
Classifier chains for multi-label classification
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Classifier chains for multi-label classification

Machine learning, 2011-12, Vol.85 (3), p.333-359 [Peer Reviewed Journal]

The Author(s) 2011 ;2015 INIST-CNRS ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-011-5256-5

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11
Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules
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Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules

International journal of approximate reasoning, 2011-03, Vol.52 (3), p.353-374 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0888-613X ;EISSN: 1873-4731 ;DOI: 10.1016/j.ijar.2010.11.008

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12
Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy
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Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomy

PloS one, 2013-06, Vol.8 (6), p.e66855-e66855 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;2013 Erho et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Erho et al 2013 Erho et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0066855 ;PMID: 23826159

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13
On the effect of calibration in classifier combination
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On the effect of calibration in classifier combination

Applied intelligence (Dordrecht, Netherlands), 2013-06, Vol.38 (4), p.566-585 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2012 ;2015 INIST-CNRS ;Springer Science+Business Media New York 2013 ;ISSN: 0924-669X ;EISSN: 1573-7497 ;DOI: 10.1007/s10489-012-0388-2

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14
Multi-domain learning by confidence-weighted parameter combination
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Article
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Multi-domain learning by confidence-weighted parameter combination

Machine learning, 2010-05, Vol.79 (1-2), p.123-149 [Peer Reviewed Journal]

The Author(s) 2009 ;The Author(s) 2010 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-009-5148-0

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15
Towards Autonomous Agriculture: Automatic Ground Detection Using Trinocular Stereovision
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Towards Autonomous Agriculture: Automatic Ground Detection Using Trinocular Stereovision

Sensors (Basel, Switzerland), 2012-09, Vol.12 (9), p.12405-12423 [Peer Reviewed Journal]

Copyright MDPI AG 2012 ;2012 by the authors; licensee MDPI, Basel, Switzerland. 2012 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s120912405

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16
On Machine-learned Classification of Variable Stars with Sparse and Noisy Time-series Data
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Article
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On Machine-learned Classification of Variable Stars with Sparse and Noisy Time-series Data

The Astrophysical journal, 2011-05, Vol.733 (1), p.10-jQuery1323908261630='48' [Peer Reviewed Journal]

2015 INIST-CNRS ;ISSN: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.1088/0004-637X/733/1/10 ;CODEN: ASJOAB

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17
An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters
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Article
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An Integrated Index for the Identification of Diabetic Retinopathy Stages Using Texture Parameters

Journal of medical systems, 2012-06, Vol.36 (3), p.2011-2020 [Peer Reviewed Journal]

Springer Science+Business Media, LLC 2011 ;Springer Science+Business Media, LLC 2012 ;ISSN: 0148-5598 ;EISSN: 1573-689X ;DOI: 10.1007/s10916-011-9663-8 ;PMID: 21340703

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18
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
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Article
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Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings

IEEE transactions on software engineering, 2008-07, Vol.34 (4), p.485-496 [Peer Reviewed Journal]

Copyright IEEE Computer Society Apr 2008 ;ISSN: 0098-5589 ;EISSN: 1939-3520 ;DOI: 10.1109/TSE.2008.35 ;CODEN: IESEDJ

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19
Data preprocessing techniques for classification without discrimination
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Article
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Data preprocessing techniques for classification without discrimination

Knowledge and information systems, 2012-10, Vol.33 (1), p.1-33 [Peer Reviewed Journal]

The Author(s) 2011 ;ISSN: 0219-1377 ;EISSN: 0219-3116 ;DOI: 10.1007/s10115-011-0463-8

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20
The role of balanced training and testing data sets for binary classifiers in bioinformatics
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The role of balanced training and testing data sets for binary classifiers in bioinformatics

PloS one, 2013-07, Vol.8 (7), p.e67863-e67863 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Wei, Dunbrack. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 Wei, Dunbrack 2013 Wei, Dunbrack ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0067863 ;PMID: 23874456

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