@prefix rdf:   <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix sl:    <http://www.semanlink.net/2001/00/semanlink-schema#> .
@prefix skos:  <http://www.w3.org/2004/02/skos/core#> .
@prefix rdfs:  <http://www.w3.org/2000/01/rdf-schema#> .
@prefix tag:   <http://www.semanlink.net/tag/> .
@prefix foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix dc:    <http://purl.org/dc/elements/1.1/> .

tag:transductive_svm  a  sl:Tag ;
        skos:broader    tag:transductive_learning ;
        skos:prefLabel  "Transductive SVM" .

tag:semi_supervised_learning
        a               sl:Tag ;
        skos:prefLabel  "Semi-supervised learning" .

<https://calculatedcontent.com/2014/09/23/machine-learning-with-missing-labels-transductive-svms/>
        dc:title         "Machine Learning with Missing Labels: Transductive SVMs" ;
        sl:creationDate  "2018-03-03" ;
        sl:tag           tag:transductive_svm , tag:transductive_learning , tag:missing_labels_ml .

tag:transductive_learning
        a                 sl:Tag ;
        rdfs:isDefinedBy  tag:transductive_learning.n3 ;
        sl:comment        "Reasoning from observed, specific (training) cases to specific (test) cases. In contrast, induction is reasoning from observed training cases to general rules, which are then applied to the test cases" ;
        skos:broader      tag:missing_labels_ml , tag:machine_learning_techniques ;
        skos:prefLabel    "Transductive Learning" ;
        skos:related      tag:semi_supervised_learning ;
        foaf:page         tag:transductive_learning.html .

tag:missing_labels_ml
        a               sl:Tag ;
        skos:prefLabel  "Missing Labels (ML)" .

tag:machine_learning_techniques
        a               sl:Tag ;
        skos:prefLabel  "Machine learning: techniques" .