Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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Numeral classifiers in Korean -ki nominalizationsLinguistic research, 2022-12, Vol.39 (3), p.499-518 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1229-1374Full text available |
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2 |
Material Type: Article
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Numeral classifiers in Korean -ki nominalizationsLinguistic research, 2022-12, p.499-518 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1229-1374Full text available |
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3 |
Material Type: Article
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Caenorhabditis elegans Connectomes of both Sexes as Image ClassifiersExperimental neurobiology, 2023-04, p.102-109 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1226-2560 ;EISSN: 2093-8144Full text available |
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4 |
Material Type: Article
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Real-time implementation and performance evaluation of speech classifiers in speech analysis-synthesisETRI journal, 2021-02, Vol.43 (1), p.82-94 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1225-6463 ;EISSN: 2233-7326Full text available |
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5 |
Material Type: Article
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Naive Bayes classifiers boosted by sufficient dimension reduction: applications to top-k classificationCommunications for statistical applications and methods, 2022-09, Vol.29 (5), p.603-614 [Peer Reviewed Journal]ISSN: 2287-7843Full text available |
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6 |
Material Type: Article
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Dual deep neural network-based classifiers to detect experimental seizuresThe Korean journal of physiology & pharmacology, 2019-03, Vol.23 (2), p.131-139 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1226-4512 ;EISSN: 2093-3827Full text available |
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7 |
Material Type: Article
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Parallelism between nominal and verbal domains: Evidence from verbal classifiersLinguistic research, 2019-06, Vol.36 (2), p.183-212 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1229-1374Full text available |
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8 |
Material Type: Article
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The Feasibility of Using Biomarkers Derived from Circulating Tumor DNA Sequencing as Predictive Classifiers in Patients with Small-Cell Lung CancerCancer research and treatment, 2022-07, p.753-766 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1598-2998 ;EISSN: 2005-9256Full text available |
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9 |
Material Type: Article
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Parallelism between nominal and verbal domains: Evidence from verbal classifiersLinguistic research, 2019-06, p.183-212 [Peer Reviewed Journal]COPYRIGHT(C) KYOBO BOOK CENTRE ALL RIGHTS RESERVED ;ISSN: 1229-1374Full text available |
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10 |
Material Type: Article
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Investigations on the Optimal Support Vector Machine Classifiers for Predicting Design Feasibility in Analog Circuit OptimizationJournal of semiconductor technology and science, 2015, Vol.15 (5), p.437-444ISSN: 1598-1657Full text available |
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11 |
Material Type: Article
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Comparison of Objective Functions for Feed-forward Neural Network Classifiers Using Receiver Operating Characteristics GraphInternational JOURNAL OF CONTENTS, 2014, Vol.10 (1), p.23-28 [Peer Reviewed Journal]ISSN: 1738-6764 ;EISSN: 2093-7504Full text available |
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12 |
Material Type: Patent
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Classifiers breeding of insectsDigital Resources/Online E-Resources |
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13 |
Material Type: Patent
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Action recognition method and system using multiple classifiers according to viewpointsDigital Resources/Online E-Resources |
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14 |
Material Type: Patent
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CREATING DEFECT CLASSIFIERS AND NUISANCE FILTERSDigital Resources/Online E-Resources |
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15 |
Material Type: Patent
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A MACHINE LEARING-BASED TEXT CLASSIFICATION SYSTEM AND TEXT CLASSIFICATION METHOD THAT DETCTS ERRORS IN CLASSIFER AND CORRECTS CLASSIFIERSDigital Resources/Online E-Resources |
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16 |
Material Type: Patent
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DETECTION OF UNKNOWN CLASSES AND INITIALIZATION OF CLASSIFIERS FOR UNKNOWN CLASSESDigital Resources/Online E-Resources |
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17 |
Material Type: Patent
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METHOD AND SYSTEM FOR GENERATING TRAINING DATA TO TRAIN CLASSIFIERS WITH LOCALIZABLE FEATURESDigital Resources/Online E-Resources |
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18 |
Material Type: Patent
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CREATING DEFECT CLASSIFIERS AND NUISANCE FILTERSDigital Resources/Online E-Resources |
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19 |
Material Type: Patent
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Descriptive anomaly detection system using multiple classifiers based on deep learningDigital Resources/Online E-Resources |
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20 |
Material Type: Patent
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DETECTION OF UNKNOWN CLASSES AND INITIALIZATION OF CLASSIFIERS FOR UNKNOWN CLASSESDigital Resources/Online E-Resources |