Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Web Resources
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Bootstrapping polarity classifiers with rule-based classificationDigital Resources/Online E-Resources |
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2 |
Material Type: Web Resources
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Bootstrapping Supervised Machine-learning Polarity Classifiers with Rule-based ClassificationDigital Resources/Online E-Resources |
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3 |
Material Type: Web Resources
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4 |
Material Type: Web Resources
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Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss DetectionInstitute of Electrical and Electronics Engineers (IEEE) ;DOI: 10.1109/ACCESS.2019.2962510Digital Resources/Online E-Resources |
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5 |
Material Type: Web Resources
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Performance analysis of machine learning classifiers for non-technical loss detectionDigital Resources/Online E-Resources |
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6 |
Material Type: Web Resources
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Performance Analysis of Boosting Classifiers in Recognizing Activities of Daily LivingDOI: 10.3390/ijerph17031082Digital Resources/Online E-Resources |
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7 |
Material Type: Web Resources
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Spatiotemporal refinement of water classification via random forest classifiers and gap-fill imputation in LANDSAT imageryDigital Resources/Online E-Resources |
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8 |
Material Type: Web Resources
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Tree Kernel Usage in Naive Bayes ClassifiersDigital Resources/Online E-Resources |
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9 |
Material Type: Web Resources
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A Critical Evaluation of Network and Pathway-Based Classifiers for Outcome Prediction in Breast CancerDigital Resources/Online E-Resources |
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10 |
Material Type: Web Resources
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Rejection and online learning with prototype-based classifiers in adaptive metrical spacesDigital Resources/Online E-Resources |
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11 |
Material Type: Web Resources
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Implementing the syntax of japanese numeral classifiersDigital Resources/Online E-Resources |
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12 |
Material Type: Web Resources
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Implementing the syntax of Japanese numeral classifiersDigital Resources/Online E-Resources |
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13 |
Material Type: Web Resources
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Majority Voting by Independent Classifiers Can Increase Error RatesDigital Resources/Online E-Resources |
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14 |
Material Type: Web Resources
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Validation of probabilistic classifiersDigital Resources/Online E-Resources |
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15 |
Material Type: Web Resources
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Sparse Probabilistic ClassifiersDigital Resources/Online E-Resources |
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16 |
Material Type: Web Resources
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Sparse Probabilistic ClassifiersDigital Resources/Online E-Resources |
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17 |
Material Type: Web Resources
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Named entity tagging a very large unbalanced corpus: training and evaluating NE classifiersDigital Resources/Online E-Resources |
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18 |
Material Type: Web Resources
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Boosting classifiers for drifting conceptsDigital Resources/Online E-Resources |
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19 |
Material Type: Web Resources
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Manitest: Are classifiers really invariant?Digital Resources/Online E-Resources |
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20 |
Material Type: Web Resources
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Melanoma Recognition using Kernel ClassifiersDigital Resources/Online E-Resources |